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  • Drusen on OCT: Detection, quantification, and tracking

    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    5 min.

    Introduction

    Drusen remains one of the main biomarkers of age-related macular degeneration (AMD). They play a prognostic role and reflect the stage of the disease. Distinguishing drusen parameters provides a personalized risk profile for the transition to geographic atrophy or neovascular AMD. Everyone working with AMD patients should know how to detect, quantify, and track drusen on OCT.

    What are the types of drusen?

    Drusen are accumulations of pathological material of lipid-protein nature, localized under the PES. They reflect impaired transport and exchange between the retinal pigment epithelium and Bruch’s membrane. Historically, they are divided into hard, soft, reticular pseudodruses (or subretinal drusenoid deposits) and other less common types (confluent, pachidruses) as well as other retinal OCT biomarkers for drusen segmentation.

    Hard drusen

    On ophthalmoscopy, they are small, rounded, clearly delineated foci of yellowish-white color. On OCT, they look like local deposits of hyperreflective material under the PES with a diameter of no more than 63 microns. In small quantities (up to 8), they are not a sign of pathology. They are asymptomatic in most patients.

    Soft drusen

    Soft drusen are larger than hard drusen and appear as extensive foci with blurred edges on the fundus. On OCT, they are dome-shaped and elevated above the PES and are divided into medium (63-125 μm) and large (more than 125 μm) in size. They are more strongly associated with AMD progression, especially when accompanied by pigmentary abnormalities and other OCT biomarkers (hyperreflective foci, destruction of the ellipsoidal zone, etc.). Soft drusen can enlarge and merge. An area of ​​merging drusen with a diameter exceeding 350 μm is called a drusenoid detachment of the PES.

    Soft drusen highlighted

    Soft drusen detected by Altris IMS. AI models are for Research Use Only. Not for use in diagnostic purposes. 

    Confluent drusen

    These are multiple small deposits under the PES, which can occur in relatively young patients; on FAG they often show a “starry sky” appearance. On OCT, there are multiple small symmetrical elevations of the PES, small in diameter (like hard drusen), but more numerous, prone to merging. The course is variable: some patients maintain a stable course for years, some have an increased risk of complications and transition to the late stages of AMD.

    Reticular pseudodrusen (or subretinal drusenoid deposits)

    They differ fundamentally in their localization, being located above the PES (in the subretinal space). They contain some common proteins with soft drusen, but differ in lipid composition. Due to their close location to the important photoreceptor layer, they are more often combined with a decrease in visual function, and also carry a higher risk of progression to late AMD (especially characterized by a rapid transition to geographic atrophy (GA) and the development of macular neovascularization (MNV) type 3).

    What are the levels of drusen?

    The AREDS size classification is still useful in clinical practice: small <63 μm, medium 63–124 μm, large ≥125 μm. Analyses confirm that the 5-year risk of progression to late AMD increases with the number and size of drusen in both eyes and especially with the presence of reticular pseudodrusen. In the NICE guidance for the management of patients with AMD (2018), the risk of progression also depends on the size and type of drusen, as well as the presence of associated pathological changes (pigmentary abnormalities, vitelliform deposits).

    The OCT era has added powerful quantitative metrics with AI for drusen measurement and monitoring:

    • drusen height (μm),
    • area (mm²),
    • volume (mm³),
    • topography (central ring within 1.5 mm; parafovea 3–5 mm),
    • dynamics of changes and associated biomarkers (hyperreflective foci, ellipsoidal zone disruption, presence of hypertransmission zones, etc.).

    A practically significant increase in the volume of drusen in the macular region over a year/two correlates with structural and functional deterioration (destructive changes in the photoreceptor layer, changes in ONL thickness, visual acuity). Data from multicenter projects (such as MACUSTAR) confirm the repeatability of measurements and the possibility of comparison between devices, provided that the correct algorithms are used.

    What do drusen look like on OCT?

    On B-scan OCT, classic hard and soft drusen are localized deposits of hyperreflective material between the PES and Bruch’s membrane (under the PES). Reflectivity can be uniform or heterogeneous depending on the structure and stage of development. Reticular pseudodruses are localized between the photoreceptor layer and the PES (above the PES) – this is the key difference from conventional drusen. On OCT images, they appear as tubercles in the subretinal space that remodel the outer layers of the retina (in particular, the ellipsoidal zone), and on en face, they are visualized as punctate structures, usually connected in a mesh pattern.

    A: Soft drusen. B: Hard drusen (Source) Another classic white and black scan

    In addition to the drusen themselves, clinically significant are hyperreflective foci, destruction of the ellipsoidal zone, thinning of the outer layers/ONL, formation of hyperreflective foci in OCT or geographic atrophy with the effect of hypertransmission – it is the combinations of these features that form prognostic models of the transition of intermediate AMD to late stages. The combination of these biomarkers consistently exceeds single morphometric thresholds.

    En Face Optical Coherence Tomography Illustration

    En Face Optical Coherence Tomography Illustration of the Trizonal Distribution of Drusen and Subretinal Drusenoid Deposits in the Macula (Source)

    As we can see, en face and linear OCT scans help to differentiate different types of drusen and track their progression dynamics. Modern deep learning models for AI drusen examination and en face analysis, like Altris.AI, reliably detect and segment classic drusen from subretinal drusenoid deposits, improving repeatability and reporting speed. You may see the difference from the classic white and black image analysis here:

    Confluent drusen are highlighted in red

    Confluent drusen are highlighted by Altris IMS. AI models are used for Research Use Only. Not for use in Diagnostic Purposes. 

    How to measure drusen size?

    Here we can find how drusen are measured:

    1) Classical size scale (AREDS):

    Orientation on diameter or equivalent on planar reconstructions: <63, 63–124, ≥125 μm. Convenient, but does not take volume/height or topography into account.

    2) Quantitative OCT analysis of PES elevation:

    On ZEISS CIRRUS instruments, the Advanced RPE Analysis module automatically calculates the area and volume of PES elevation in standard 3 and 5 mm rings around the fovea; the minimum height that the system consistently includes in quantitative results is about 19–20 μm. This provides repeatable metrics and a common “language of numbers” for clinical and research purposes.

    3) Morphometric rule for differentiation of drusen and drusenoid detachment of PES:

    By basal width: <350 μm – drusen, ≥350 μm drusenoid detachment of PES.

    4) AI segmentation and 3D morphometry:

    Deep networks segment Bruch’s membrane, PES, and ellipsoidal zone, as well as PES elevation on OCT, calculating drusen height/area/volume and generating dynamics maps. Validation work in 2023–2025 will demonstrate robustness between different OCT devices, which is critical for multicenter networks. Besides, you may track drusen progression on OCT AI tool and stay informed ahead of time to prevent more severe pathology changes in advance.

    Can drusen exist without macular degeneration?

    Yes, and this is possible in the following cases.

    Small (<63 μm) single drusen may occur in the elderly in the absence of other signs of AMD and concomitant risk biomarkers (hyperreflective foci, ellipsoidal zone abnormalities). In this phenotype, the 5-year risk of progression is low; routine monitoring at an interval of 1 time per year is sufficient, if possible, with recording quantitative indicators on OCT (volume/area of ​​PES elevation) for comparison in dynamics. The patient should be informed that the fact of “small drusen” alone does not equal a diagnosis of AMD and does not require treatment, but it is advisable to maintain lifestyle modification (blood pressure control, smoking cessation, a healthy diet).

    Confluent drusen are sometimes found in younger patients; they do not always fit into the classic models of AMD. Tactics – individual observation with an emphasis on high-quality OCT documentation (the same scan and control of concomitant biomarkers). In the absence of “red flags”, a 6-12 month follow-up interval is sufficient.

    Understanding Macular Degeneration

    Understanding Macular Degeneration (Source)

    Hereditary dystrophies (EFEMP1-related; associated phenotypes are Doyne’s cellular degeneration of the retina and Leventis’ malady) form drusen-like deposits without the typical pathogenesis inherent in AMD. They have an autosomal dominant inheritance pattern and are characterized by yellow-white deposits, like drusen, accumulating under the PES, often in the peripapillary zone. The clinical picture may include gradual vision loss, impaired contrast sensitivity, or metamorphopsia. In this case, timely detection of the phenotype (age of onset, family history, symmetry, characteristic fundus appearance) and referral for medical and genetic counseling with a subsequent individual follow-up plan, including monitoring of possible complications (neovascularization, atrophic changes).

    Drusen vs. drusenoid detachment of PES

    Drusen are local elevations of PES above Bruch’s membrane due to deposits of pathological material under PES. Usually multiple, of different diameters, with a tendency to merge with the formation of larger, topographically continuous areas of PES elevation.

    Drusenoid detachment of the pigment epithelium is formed from a larger conglomerate of drusenoid material, which in turn is formed as a result of the fusion of drusen.

    Another differentiating drusen and drusenoid deposits subtypes on multimodal imaging samples

    Another differentiating drusen and drusenoid deposits subtypes on multimodal imaging samples

    On B-scan OCT, it has smooth edges, uneven reflectivity, and often retains communication with neighboring drusen. On en face visualization, a conglomerate of elevation is visible, which corresponds to the zone of changes in the PES-Bruch’s membrane complex. In the absence of fluid inside the lesion, we are talking about drusenoid detachment of PES; if homogeneous hyporeflectivity is visualized under PES, this is serous detachment of PES, and if there are signs of a neovascular membrane according to OCTA or FAG, this is fibrovascular detachment of PES. Therefore, in doubtful cases, it is advisable to add OCTA to exclude hidden MNV.

    The main morphometric rule: basal width ≥350 μm (in the horizontal projection of the OCT slice favors drusenoid detachment of PES. In some situations, we also pay attention to the content (serous/optically empty space, signs of vascularization), PES profile, and associated biomarkers, since PES detachment is more often associated with the risk of transition to HA or the formation of neovascularization.

    What is the best treatment for drusen?

    Drusen are not treated as a separate nosology. They are a structural biomarker of AMD, and also have prognostic value for assessing the further development and rate of progression of the disease.

    Optimal tactics for detecting drusen:

    Optimal tactics for detecting drusen may include the following

    Risk modification: 

    • smoking cessation,
    •  blood pressure control,
    • metabolic profile,
    • diet.

    Dietary supplements based on AREDS 2: 

    • taking antioxidant complexes (lutein, zeaxanthin, vitamins C and E, zinc, copper) reduces the risk of transition to late AMD by approximately 25% within 5 years (according to AREDS 2).

    Quantitative monitoring on OCT: 

    • record the volume/area/height of drusen and their dynamics, distinguish between drusen types, detect other concomitant signs of AMD progression (hyperreflective foci, destructive changes in the ellipsoidal zone, pigmentary anomalies, vitelliform material deposition, signs of formation of foci of geographic atrophy).
    • Individualize observation intervals (depending on the type of drusen, the dynamics of their structural changes and other risk factors).
    • Among the new promising methods of treating dry AMD at the drusen stage is multiwavelength photobiomodulation.

    Multiwavelength photobiomodulation:

    This method is aimed at stopping or regressing the progression of dry AMD by modulating mitochondrial activity and consists of the use of specific light (red and near-infrared spectrum from ~590 to 850 nm), which can reduce oxidative stress in retinal cells, inflammation and apoptosis of PES cells.

    The efficacy as a potential treatment approach has remained controversial until recently: studies have shown only temporary improvement in visual function and reduction in drusen volume (not maintained for 6 months).

    Updated data from the LIGHTSITE III study were presented at the ARVO 2025 conference. They showed that photobiomodulation can significantly slow the decline in visual acuity and reduce the rate of expansion of HA zones

    Recently, the FDA approved photobiomodulation for the treatment of AMD.

    For complications:

    • Neovascular AMD– anti-VEGF.
    • Geographic atrophy – injectable drugs (inhibitors of the C3 and C5 complement system), approved by the FDA

    The role of AI drusen quantification OCT

    The role of AI: automated drusen-volume measurement in OCT is now a reality. IT allows automated segmentation and counting (3D volume, area, height), identification of reticular pseudodruses and other signs of AMD, and compilation of prognostic profiles.

    In practice, applying an OCT drusen-counting algorithm reduces variability in assessments and helps personalize visit frequency. Additionally, home OCT monitoring models with AI analysis are being developed, indicating that broader AI support for AMD is fast approaching.

    Conclusion

    Drusen on OCT are more than just a sign of AMD. They have become one of the most important biomarkers of age-related macular degeneration and a kind of “compass” in the daily practice of an ophthalmologist. Today we understand that:

    Drusen come in different types, and, accordingly, carry different prognostic information: hard, soft, confluent, and reticular pseudodrusen. Each type carries a different risk and requires a different surveillance strategy.

    Drusen levels are no longer limited to diameter, height, volume, dynamics, and structural features as well as accompanying OCT biomarkers have also become important. It is the combination of these parameters that allows us to predict the transition to the late stages of AMD.

    OCT has changed the game: drusen can now be seen in 3D, segmented automatically, build PES elevation maps, and compare data between visits. Thanks to this, the doctor receives a lot of information about the evolution of the disease.

    AI sets a new standard: algorithms can accurately calculate drusen volume, identify their subtypes, generate prognostic profiles, and reduce interobserver variability. This translates data from subjective descriptions into objective, reproducible numbers.

    Drusen classification on OCT using AI allows not only ascertaining the presence of drusen, but also differentiating their type, objectively measuring their number and parameters, and tracking their dynamics via AI drusen quantification on OCT. For the doctor, this means identifying risk factors in the early stages of retinal disease, accurately comparing data between visits, and prescribing the correct therapy promptly.

    Home monitoring is the future that has already begun: the first FDA-approved solutions with “OCT + AI” are currently used to monitor fluid in neovascular AMD, but they pave the way for daily structural monitoring of drusen as well. This means that in the near future, the patient may be able to monitor their own retina at home, and the doctor may be able to see the dynamics in real time.

    In the treatment of drusen wet or dry AMD, the main goal remains not to “remove drusen,” but to minimize risks (smoking, diet, systemic factors), prescribe AREDS2-based complexes, timely detect complications, and apply already available therapies (anti-VEGF in INM, C3 and C5 inhibitors of the complement system in HA). Among the new promising methods for treating dry AMD at the drusen stage is multiwavelength photobiomodulation.

     

    It is important to remember when communicating with the patient: drusen is not a therapeutic target, but a structural “compass”. We do not “treat drusen.” Instead, we systematically reduce risks (smoking, blood pressure, nutrition), use drugs based on the AREDS2 formula, and most importantly, we regularly measure their quantitative parameters in dynamics. When complications appear and the transition to a late stage occurs, we prescribe treatment based on the same objective OCT metrics. Thus, instrumental accuracy and AI analytics turn drusen into a manageable marker that helps to timely detect the risks of AMD progression.

    Thus, drusen on OCT have become a bridge between morphology and prognosis. They provide an opportunity to build a long-term strategy for preserving vision. Today, the doctor is required not only to see drusen, but also to quantitatively measure, assess in dynamics, calculate the risk, and explain to the patient his individual risks. It is thanks to these approaches that we are moving towards a new paradigm – personalized ophthalmology, where decisions are made based on objective digital data, enhanced by artificial intelligence.

    Sources:

      1. https://pubmed.ncbi.nlm.nih.gov/39558093/
      2. https://jamanetwork.com/journals/jamaophthalmology/fullarticle/2765650
      3. https://link.springer.com/article/10.1007/s00417-024-06389-x
      4. https://iovs.arvojournals.org/article.aspx?articleid=2804052
      5. https://www.ophthalmologyscience.org/article/S2666-9145(25)00182-4/fulltext
      6. https://www.nature.com/articles/s41433-024-03460-z
      7. https://www.ophthalmologytimes.com/view/arvo-2025-update-on-the-lightsite-iii-study-in-amd
  • Retinal Vein Occlusion: Detection with OCT and Modern Approaches to Monitoring and Treatment

    crvo
    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    3 min.

    Introduction

    Retinal vein occlusion (RVO) is one of the most common and clinically significant vascular disorders affecting the eye, often resulting in substantial visual impairment. This condition ranks second among causes of vision loss due to vascular disease, after diabetic retinopathy, placing a considerable burden on both healthcare systems and patients’ quality of life. Epidemiological studies show that the prevalence of RVO increases with age, and in populations with concomitant cardiovascular disease, the risk of developing occlusion rises severalfold.

    Despite a long history of study, it is the breakthroughs in instrumental diagnostics over the past decade that have fundamentally changed our approach to recognizing and managing RVO. Previously, assessment of the macula and retinal vasculature relied primarily on ophthalmoscopy. While still an important tool, it has inherent limitations.

    Optical coherence tomography (OCT) has revolutionized diagnostic standards. With its high resolution and ability to capture subtle structural changes within the retinal layers, OCT has become indispensable for determining disease severity, monitoring treatment efficacy, and conducting long-term follow-up. It allows for the detection of minimal early signs of edema, subclinical structural damage, and initial manifestations of ischemia—changes that were practically inaccessible for dynamic assessment 10–15 years ago.

    This level of precision is particularly critical for patients at increased risk of RVO. The most vulnerable groups include individuals with arterial hypertension, diabetes mellitus, glaucoma, coagulation disorders, as well as older adults, in whom the vascular walls may already have undergone degenerative or sclerotic changes.

    Importantly, modern RVO treatments require objective dynamic monitoring. OCT enables precise evaluation of structural changes, tracking of therapeutic response, and individualization of treatment strategies, helping to avoid both overtreatment and undertreatment.

    Thus, the role of OCT today goes far beyond simple visualization: it is a key tool for prognostic assessment, patient stratification, optimization of therapeutic decisions, and timely detection of complications.

    1. What RVO Is and Why It Occurs?

    Retinal vein occlusion (RVO) is a disruption of venous blood outflow in the retina due to partial or complete vein occlusion. As a result, the following occur:

    • Blood stasis
    • Increased venous pressure
    • Impaired capillary perfusion
    • Retinal edema, especially in the macular area
    • Risk of neovascularization

    Early detection is critical, as prompt treatment—particularly for macular edema—significantly increases the chances of preserving or restoring vision. Delayed diagnosis can lead to progression of ischemia, neovascularization, neovascular glaucoma, and persistent macular dysfunction.

    RVO also has important systemic implications: patients with a history of RVO have a higher risk of acute cardiovascular events (myocardial infarction, stroke, heart failure) compared with the general population. This emphasizes the need for comprehensive management, involving not only ophthalmologists but also other specialists, such as cardiologists.

    Central vs. Branch Retinal Vein Occlusion: Pathogenesis Differences

    • Central Retinal Vein Occlusion (CRVO) occurs when blockage happens at the level of the lamina cribrosa. Compression, arterial wall thickening, or thrombotic processes disrupt blood outflow from the entire retina. Typical signs include:
      • Diffuse hemorrhages
      • Marked macular edema
      • Increased risk of optic disc and iris neovascularization due to severe ischemia
      • Generally worsen prognosis than branch occlusions
    • Branch Retinal Vein Occlusion (BRVO) usually occurs at arteriovenous crossings, where a thickened artery compresses a vein, causing localized occlusion. Characteristic features include:
      • Localized edema and hemorrhages
      • Clear segmental distribution
      • Prognosis is generally better than that of CRVO, though macular edema may persist

    Key Risk Factors for RVO
    Modern studies and guidelines identify the following as the main risk factors:

    • Arterial hypertension
    • Atherosclerosis and age-related vascular changes
    • Diabetes mellitus (even without diabetic retinopathy)
    • Glaucoma and elevated IOP
    • Hypercoagulable states, thrombophilia
    • Obstructive sleep apnea
    • Age >50 years

    Rare cases of RVO associated with thromboembolic complications after COVID‑19 infection or vaccination have also been reported, highlighting the ongoing relevance of thrombotic mechanisms.

    Impact on Microcirculation and Vision


    RVO leads to:

    • Impaired normal venous outflow
    • Sharp elevation of hydrostatic venous pressure
    • Damage to the blood-retinal barrier
    • Leakage of plasma and cellular elements into the retinal interstitium, causing macular edema
    • Development of ischemic zones
    • Over time, thinning of inner retinal layers, neuroepithelial atrophy, and damage to the photoreceptor layer

    These changes are best assessed with OCT, which enables precise patient stratification and treatment planning. Timely diagnosis, proper monitoring, and early therapy are essential.

    2. OCT Signs of Retinal Vein Occlusion: Detecting Subtle Changes

    With the advent of OCT, detection of structural retinal changes in RVO has significantly improved—even at early stages without obvious clinical signs.

    Acute Stage Changes (first weeks after occlusion)

    • Macular edema:
      • Cystic spaces in inner retinal layers (INL, OPL)
      • Increased central retinal thickness
      • Subretinal fluid (serous neurosensory detachment)
    • Intraretinal hemorrhages: appear on OCT as hyperreflective areas with shadowing of underlying layers
    • Ischemia indicators:
      • Hyperreflectivity of neuroepithelium
      • Cotton-wool spots

    Chronic Stage Changes (months later)

    • Chronic ischemic and atrophic changes (thinning of inner retinal layers)
    • Disruption of photoreceptor layer (ELM and EZ)
    • Disorganization of inner retinal layers (DRIL)
    • Persistent edema (>6 months) indicates chronic RVO requiring therapeutic adjustment

    AI for OCT thus allows both acute diagnosis and long-term monitoring of ischemic progression or tissue remodeling.

    tissues

    rvo

    crvo

    3. Assessment of Macular Changes in RVO Using OCT

    OCT is now considered the gold standard for diagnosing, monitoring, and assessing treatment response in macular edema, including that associated with RVO.

    OCT is highly sensitive for:

    • Quantitative and qualitative analysis (central retinal thickness [CRT], macular volume [MV], size and number of cystic spaces, DRIL, photoreceptor layer integrity)
    • Evaluating treatment response
    • Detecting minimal residual cysts
    • Predicting visual acuity outcomes

    Typical OCT Findings in RVO:

    • Diffuse retinal thickening
    • Cystoid macular edema (localized cysts deforming normal retinal architecture)
    • Serous neurosensory detachment (indicative of blood-retinal barrier breakdown)
    • Disruption of EZ and ELM (photoreceptor involvement, critical for final visual acuity)

    These capabilities make OCT an integral part of modern RVO monitoring.

    rvo

    rvo 1

    rvo 2

    4. Top 3 Challenges in RVO OCT Analysis

    Despite its power, OCT assessment of RVO has significant limitations:

    1. Need for normative comparison
      Interpretation requires comparison with the patient’s contralateral eye or established normal values. Systemic vascular anomalies can affect both eyes, limiting standardization.
    2. Complexity with comorbidities
      Many RVO patients have systemic (hypertension, diabetes) or ophthalmic comorbidities (diabetic retinopathy, AMD, glaucoma, epiretinal membrane), complicating interpretation. It can be difficult to distinguish RVO-related changes from combined pathology.
    3. Requirement to consider clinical context
      OCT provides only part of the clinical picture. Accurate interpretation requires integration of symptoms, medical history, systemic factors, fundoscopic findings, and other diagnostic tests. Anatomical variations, comorbidities (glaucoma, cataract), and individual treatment response also necessitate a personalized approach.

    5. Treatment of RVO: Modern Approaches

    Currently, no treatment restores normal retinal venous circulation. Therefore, therapy focuses on controlling complications, primarily macular edema and preventing neovascularization (retinal, iris/optic disc, neovascular glaucoma, hemorrhages, and tractional changes).

    All RVO patients should receive systemic management, ideally in collaboration between an ophthalmologist and a cardiologist or internist. Monitoring of blood pressure, lipids, glucose, and coagulation factors is essential, as RVO often signals systemic vascular risk.

    Treatment decisions must be individualized, considering:

    • RVO subtype (CRVO vs. BRVO)
    • Edema severity
    • Clinical and OCT findings
    • Risk of adverse effects
    • Patient status (comorbidities, ability for regular follow-up)

    Anti-VEGF Therapy as First-Line Treatment

    Intravitreal anti-VEGF injections are the first-line therapy for macular edema associated with RVO. These drugs reduce vascular endothelial growth factor (VEGF) expression, lowering vascular permeability, fluid leakage, edema, and inhibiting pathological neovascularization.

    Commonly used agents:

    • Ranibizumab, Aflibercept, Faricimab: proven safe and effective for CRVO and BRVO-related macular edema; studies show significant improvements in best-corrected visual acuity (BCVA) and central macular thickness (CMT).
    • Bevacizumab: used off-label for macular edema and neovascularization.

    Long-term studies indicate anti-VEGF therapy provides sustained visual improvement for many patients, with injection frequency often decreasing over time.

    Advantages:

    • High efficacy for macular edema
    • Good tolerability and safety (systemic complications are rare)
    • Personalized treatment possible

    Limitations / Challenges:

    • Some patients respond insufficiently
    • Requires frequent injections (clinic visits, financial burden, potential complications, patient discomfort)
    • Chronic or refractory edema may require alternative or combination approaches

    Steroid Implants and Injections: Second-Line Therapy

    Dexamethasone intravitreal implant (OZURDEX) is approved for RVO-related macular edema, particularly when:

    • Anti-VEGF therapy is insufficient
    • Frequent injections are impractical (distance, transportation, cost)

    Steroids reduce inflammation, vascular permeability, and fluid accumulation, useful in chronic or resistant edema.

    Risks / Limitations:

    • Cataract (especially with repeated or long-term use)
    • Increased intraocular pressure (IOP), potential steroid-induced glaucoma

    Laser Therapy

    • Panretinal photocoagulation is effective for neovascularization.
    • Its use has declined with anti-VEGF availability, which offers strong anatomical and functional results.

    Surgical Approaches

    • Vitrectomy may be considered in selected cases.
    • Surgery carries risks and is reserved for situations where other treatments fail or are inappropriate.

    Combination Strategies

    • In practice, clinicians often combine anti-VEGF therapy with steroid implants or laser treatment, depending on disease course.
    • This can reduce total injection burden, minimize side effects, and improve outcomes in chronic or recurrent edema.

    Monitoring Frequency

    • Active macular edema or ongoing treatment requires regular OCT follow-up to evaluate therapeutic response and adjust injection intervals.
    • OCT schedule:
      • Monthly at treatment initiation
      • Individualized intervals using Treat-and-Extend protocols
      • Structural monitoring to prevent atrophic changes
    • Ischemic RVO patients have the highest neovascularization risk within the first 90 days; monthly monitoring during the first 6 months is critical.

    Conclusions and Recommendations

    RVO is a complex, multifactorial vascular disorder that can cause sudden and severe vision loss, particularly in patients with systemic risk factors. Modern management aims not only to address acute complications but also to control long-term structural retinal changes.

    OCT has transformed RVO care by providing:

    • Early detection of edema, subclinical ischemia, and architectural changes
    • Dynamic monitoring of treatment response, allowing timely adjustments and optimization
    • Improved long-term prognostication through evaluation of macular thickness, outer retinal layers, and fluid volume

    OCT helps identify edema type and secondary changes—atrophy, photoreceptor damage, inner retinal thinning—allowing a more accurate visual prognosis, especially in ischemic RVO.

    When combined with modern anti-VEGF agents, long-acting steroid implants, and personalized dosing regimens, OCT enables:

    • Reduction of unnecessary injections via interval optimization
    • Maximized treatment efficacy based on morphological findings
    • Prevention of recurrence and progression through early detection of edema

    Thus, OCT is not merely a visualization tool but a core element of clinical decision-making, improving patient management, preventing complications, and enabling more complete and stable visual recovery.

    Clinical Recommendation: Integrate regular OCT assessments into RVO management, with attention to macular thickness dynamics and outer retinal layer integrity for precise disease control and optimized therapeutic outcomes.

    References:

    1. https://pubmed.ncbi.nlm.nih.gov/38714470/
    2. https://www.rcophth.ac.uk/wp-content/uploads/2015/07/Retinal-Vein-Occlusion-Guidelines-Executive-Summary-2022.pdf
    3. https://www.mdpi.com/2077-0383/14/4/1183
    4. https://www.auctoresonline.org/article/clinical-therapeutic-orientation-in-retinal-venous-obstruction
    5. https://www.mdpi.com/2077-0383/10/3/405
    6. https://pmc.ncbi.nlm.nih.gov/articles/PMC10801953
    7. https://www.mdpi.com/2075-4418/13/19/3100
    8. https://karger.com/oph/article-abstract/242/1/8/255831/Microvascular-Retinal-and-Choroidal-Changes-in?redirectedFrom=fulltext
    9. https://link.springer.com/article/10.1007/s40123-024-01077-9
    10. https://pubmed.ncbi.nlm.nih.gov/39717563/
    11. https://provider-rvo.vision-relief.com/introduction/management/

     

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  • Drusen on OCT: Detection, quantification, and tracking

    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    5 min.

    Introduction

    Drusen remains one of the main biomarkers of age-related macular degeneration (AMD). They play a prognostic role and reflect the stage of the disease. Distinguishing drusen parameters provides a personalized risk profile for the transition to geographic atrophy or neovascular AMD. Everyone working with AMD patients should know how to detect, quantify, and track drusen on OCT.

    What are the types of drusen?

    Drusen are accumulations of pathological material of lipid-protein nature, localized under the PES. They reflect impaired transport and exchange between the retinal pigment epithelium and Bruch’s membrane. Historically, they are divided into hard, soft, reticular pseudodruses (or subretinal drusenoid deposits) and other less common types (confluent, pachidruses) as well as other retinal OCT biomarkers for drusen segmentation.

    Hard drusen

    On ophthalmoscopy, they are small, rounded, clearly delineated foci of yellowish-white color. On OCT, they look like local deposits of hyperreflective material under the PES with a diameter of no more than 63 microns. In small quantities (up to 8), they are not a sign of pathology. They are asymptomatic in most patients.

    Soft drusen

    Soft drusen are larger than hard drusen and appear as extensive foci with blurred edges on the fundus. On OCT, they are dome-shaped and elevated above the PES and are divided into medium (63-125 μm) and large (more than 125 μm) in size. They are more strongly associated with AMD progression, especially when accompanied by pigmentary abnormalities and other OCT biomarkers (hyperreflective foci, destruction of the ellipsoidal zone, etc.). Soft drusen can enlarge and merge. An area of ​​merging drusen with a diameter exceeding 350 μm is called a drusenoid detachment of the PES.

    Soft drusen highlighted

    Soft drusen detected by Altris IMS. AI models are for Research Use Only. Not for use in diagnostic purposes. 

    Confluent drusen

    These are multiple small deposits under the PES, which can occur in relatively young patients; on FAG they often show a “starry sky” appearance. On OCT, there are multiple small symmetrical elevations of the PES, small in diameter (like hard drusen), but more numerous, prone to merging. The course is variable: some patients maintain a stable course for years, some have an increased risk of complications and transition to the late stages of AMD.

    Reticular pseudodrusen (or subretinal drusenoid deposits)

    They differ fundamentally in their localization, being located above the PES (in the subretinal space). They contain some common proteins with soft drusen, but differ in lipid composition. Due to their close location to the important photoreceptor layer, they are more often combined with a decrease in visual function, and also carry a higher risk of progression to late AMD (especially characterized by a rapid transition to geographic atrophy (GA) and the development of macular neovascularization (MNV) type 3).

    What are the levels of drusen?

    The AREDS size classification is still useful in clinical practice: small <63 μm, medium 63–124 μm, large ≥125 μm. Analyses confirm that the 5-year risk of progression to late AMD increases with the number and size of drusen in both eyes and especially with the presence of reticular pseudodrusen. In the NICE guidance for the management of patients with AMD (2018), the risk of progression also depends on the size and type of drusen, as well as the presence of associated pathological changes (pigmentary abnormalities, vitelliform deposits).

    The OCT era has added powerful quantitative metrics with AI for drusen measurement and monitoring:

    • drusen height (μm),
    • area (mm²),
    • volume (mm³),
    • topography (central ring within 1.5 mm; parafovea 3–5 mm),
    • dynamics of changes and associated biomarkers (hyperreflective foci, ellipsoidal zone disruption, presence of hypertransmission zones, etc.).

    A practically significant increase in the volume of drusen in the macular region over a year/two correlates with structural and functional deterioration (destructive changes in the photoreceptor layer, changes in ONL thickness, visual acuity). Data from multicenter projects (such as MACUSTAR) confirm the repeatability of measurements and the possibility of comparison between devices, provided that the correct algorithms are used.

    What do drusen look like on OCT?

    On B-scan OCT, classic hard and soft drusen are localized deposits of hyperreflective material between the PES and Bruch’s membrane (under the PES). Reflectivity can be uniform or heterogeneous depending on the structure and stage of development. Reticular pseudodruses are localized between the photoreceptor layer and the PES (above the PES) – this is the key difference from conventional drusen. On OCT images, they appear as tubercles in the subretinal space that remodel the outer layers of the retina (in particular, the ellipsoidal zone), and on en face, they are visualized as punctate structures, usually connected in a mesh pattern.

    A: Soft drusen. B: Hard drusen (Source) Another classic white and black scan

    In addition to the drusen themselves, clinically significant are hyperreflective foci, destruction of the ellipsoidal zone, thinning of the outer layers/ONL, formation of hyperreflective foci in OCT or geographic atrophy with the effect of hypertransmission – it is the combinations of these features that form prognostic models of the transition of intermediate AMD to late stages. The combination of these biomarkers consistently exceeds single morphometric thresholds.

    En Face Optical Coherence Tomography Illustration

    En Face Optical Coherence Tomography Illustration of the Trizonal Distribution of Drusen and Subretinal Drusenoid Deposits in the Macula (Source)

    As we can see, en face and linear OCT scans help to differentiate different types of drusen and track their progression dynamics. Modern deep learning models for AI drusen examination and en face analysis, like Altris.AI, reliably detect and segment classic drusen from subretinal drusenoid deposits, improving repeatability and reporting speed. You may see the difference from the classic white and black image analysis here:

    Confluent drusen are highlighted in red

    Confluent drusen are highlighted by Altris IMS. AI models are used for Research Use Only. Not for use in Diagnostic Purposes. 

    How to measure drusen size?

    Here we can find how drusen are measured:

    1) Classical size scale (AREDS):

    Orientation on diameter or equivalent on planar reconstructions: <63, 63–124, ≥125 μm. Convenient, but does not take volume/height or topography into account.

    2) Quantitative OCT analysis of PES elevation:

    On ZEISS CIRRUS instruments, the Advanced RPE Analysis module automatically calculates the area and volume of PES elevation in standard 3 and 5 mm rings around the fovea; the minimum height that the system consistently includes in quantitative results is about 19–20 μm. This provides repeatable metrics and a common “language of numbers” for clinical and research purposes.

    3) Morphometric rule for differentiation of drusen and drusenoid detachment of PES:

    By basal width: <350 μm – drusen, ≥350 μm drusenoid detachment of PES.

    4) AI segmentation and 3D morphometry:

    Deep networks segment Bruch’s membrane, PES, and ellipsoidal zone, as well as PES elevation on OCT, calculating drusen height/area/volume and generating dynamics maps. Validation work in 2023–2025 will demonstrate robustness between different OCT devices, which is critical for multicenter networks. Besides, you may track drusen progression on OCT AI tool and stay informed ahead of time to prevent more severe pathology changes in advance.

    Can drusen exist without macular degeneration?

    Yes, and this is possible in the following cases.

    Small (<63 μm) single drusen may occur in the elderly in the absence of other signs of AMD and concomitant risk biomarkers (hyperreflective foci, ellipsoidal zone abnormalities). In this phenotype, the 5-year risk of progression is low; routine monitoring at an interval of 1 time per year is sufficient, if possible, with recording quantitative indicators on OCT (volume/area of ​​PES elevation) for comparison in dynamics. The patient should be informed that the fact of “small drusen” alone does not equal a diagnosis of AMD and does not require treatment, but it is advisable to maintain lifestyle modification (blood pressure control, smoking cessation, a healthy diet).

    Confluent drusen are sometimes found in younger patients; they do not always fit into the classic models of AMD. Tactics – individual observation with an emphasis on high-quality OCT documentation (the same scan and control of concomitant biomarkers). In the absence of “red flags”, a 6-12 month follow-up interval is sufficient.

    Understanding Macular Degeneration

    Understanding Macular Degeneration (Source)

    Hereditary dystrophies (EFEMP1-related; associated phenotypes are Doyne’s cellular degeneration of the retina and Leventis’ malady) form drusen-like deposits without the typical pathogenesis inherent in AMD. They have an autosomal dominant inheritance pattern and are characterized by yellow-white deposits, like drusen, accumulating under the PES, often in the peripapillary zone. The clinical picture may include gradual vision loss, impaired contrast sensitivity, or metamorphopsia. In this case, timely detection of the phenotype (age of onset, family history, symmetry, characteristic fundus appearance) and referral for medical and genetic counseling with a subsequent individual follow-up plan, including monitoring of possible complications (neovascularization, atrophic changes).

    Drusen vs. drusenoid detachment of PES

    Drusen are local elevations of PES above Bruch’s membrane due to deposits of pathological material under PES. Usually multiple, of different diameters, with a tendency to merge with the formation of larger, topographically continuous areas of PES elevation.

    Drusenoid detachment of the pigment epithelium is formed from a larger conglomerate of drusenoid material, which in turn is formed as a result of the fusion of drusen.

    Another differentiating drusen and drusenoid deposits subtypes on multimodal imaging samples

    Another differentiating drusen and drusenoid deposits subtypes on multimodal imaging samples

    On B-scan OCT, it has smooth edges, uneven reflectivity, and often retains communication with neighboring drusen. On en face visualization, a conglomerate of elevation is visible, which corresponds to the zone of changes in the PES-Bruch’s membrane complex. In the absence of fluid inside the lesion, we are talking about drusenoid detachment of PES; if homogeneous hyporeflectivity is visualized under PES, this is serous detachment of PES, and if there are signs of a neovascular membrane according to OCTA or FAG, this is fibrovascular detachment of PES. Therefore, in doubtful cases, it is advisable to add OCTA to exclude hidden MNV.

    The main morphometric rule: basal width ≥350 μm (in the horizontal projection of the OCT slice favors drusenoid detachment of PES. In some situations, we also pay attention to the content (serous/optically empty space, signs of vascularization), PES profile, and associated biomarkers, since PES detachment is more often associated with the risk of transition to HA or the formation of neovascularization.

    What is the best treatment for drusen?

    Drusen are not treated as a separate nosology. They are a structural biomarker of AMD, and also have prognostic value for assessing the further development and rate of progression of the disease.

    Optimal tactics for detecting drusen:

    Optimal tactics for detecting drusen may include the following

    Risk modification: 

    • smoking cessation,
    •  blood pressure control,
    • metabolic profile,
    • diet.

    Dietary supplements based on AREDS 2: 

    • taking antioxidant complexes (lutein, zeaxanthin, vitamins C and E, zinc, copper) reduces the risk of transition to late AMD by approximately 25% within 5 years (according to AREDS 2).

    Quantitative monitoring on OCT: 

    • record the volume/area/height of drusen and their dynamics, distinguish between drusen types, detect other concomitant signs of AMD progression (hyperreflective foci, destructive changes in the ellipsoidal zone, pigmentary anomalies, vitelliform material deposition, signs of formation of foci of geographic atrophy).
    • Individualize observation intervals (depending on the type of drusen, the dynamics of their structural changes and other risk factors).
    • Among the new promising methods of treating dry AMD at the drusen stage is multiwavelength photobiomodulation.

    Multiwavelength photobiomodulation:

    This method is aimed at stopping or regressing the progression of dry AMD by modulating mitochondrial activity and consists of the use of specific light (red and near-infrared spectrum from ~590 to 850 nm), which can reduce oxidative stress in retinal cells, inflammation and apoptosis of PES cells.

    The efficacy as a potential treatment approach has remained controversial until recently: studies have shown only temporary improvement in visual function and reduction in drusen volume (not maintained for 6 months).

    Updated data from the LIGHTSITE III study were presented at the ARVO 2025 conference. They showed that photobiomodulation can significantly slow the decline in visual acuity and reduce the rate of expansion of HA zones

    Recently, the FDA approved photobiomodulation for the treatment of AMD.

    For complications:

    • Neovascular AMD– anti-VEGF.
    • Geographic atrophy – injectable drugs (inhibitors of the C3 and C5 complement system), approved by the FDA

    The role of AI drusen quantification OCT

    The role of AI: automated drusen-volume measurement in OCT is now a reality. IT allows automated segmentation and counting (3D volume, area, height), identification of reticular pseudodruses and other signs of AMD, and compilation of prognostic profiles.

    In practice, applying an OCT drusen-counting algorithm reduces variability in assessments and helps personalize visit frequency. Additionally, home OCT monitoring models with AI analysis are being developed, indicating that broader AI support for AMD is fast approaching.

    Conclusion

    Drusen on OCT are more than just a sign of AMD. They have become one of the most important biomarkers of age-related macular degeneration and a kind of “compass” in the daily practice of an ophthalmologist. Today we understand that:

    Drusen come in different types, and, accordingly, carry different prognostic information: hard, soft, confluent, and reticular pseudodrusen. Each type carries a different risk and requires a different surveillance strategy.

    Drusen levels are no longer limited to diameter, height, volume, dynamics, and structural features as well as accompanying OCT biomarkers have also become important. It is the combination of these parameters that allows us to predict the transition to the late stages of AMD.

    OCT has changed the game: drusen can now be seen in 3D, segmented automatically, build PES elevation maps, and compare data between visits. Thanks to this, the doctor receives a lot of information about the evolution of the disease.

    AI sets a new standard: algorithms can accurately calculate drusen volume, identify their subtypes, generate prognostic profiles, and reduce interobserver variability. This translates data from subjective descriptions into objective, reproducible numbers.

    Drusen classification on OCT using AI allows not only ascertaining the presence of drusen, but also differentiating their type, objectively measuring their number and parameters, and tracking their dynamics via AI drusen quantification on OCT. For the doctor, this means identifying risk factors in the early stages of retinal disease, accurately comparing data between visits, and prescribing the correct therapy promptly.

    Home monitoring is the future that has already begun: the first FDA-approved solutions with “OCT + AI” are currently used to monitor fluid in neovascular AMD, but they pave the way for daily structural monitoring of drusen as well. This means that in the near future, the patient may be able to monitor their own retina at home, and the doctor may be able to see the dynamics in real time.

    In the treatment of drusen wet or dry AMD, the main goal remains not to “remove drusen,” but to minimize risks (smoking, diet, systemic factors), prescribe AREDS2-based complexes, timely detect complications, and apply already available therapies (anti-VEGF in INM, C3 and C5 inhibitors of the complement system in HA). Among the new promising methods for treating dry AMD at the drusen stage is multiwavelength photobiomodulation.

     

    It is important to remember when communicating with the patient: drusen is not a therapeutic target, but a structural “compass”. We do not “treat drusen.” Instead, we systematically reduce risks (smoking, blood pressure, nutrition), use drugs based on the AREDS2 formula, and most importantly, we regularly measure their quantitative parameters in dynamics. When complications appear and the transition to a late stage occurs, we prescribe treatment based on the same objective OCT metrics. Thus, instrumental accuracy and AI analytics turn drusen into a manageable marker that helps to timely detect the risks of AMD progression.

    Thus, drusen on OCT have become a bridge between morphology and prognosis. They provide an opportunity to build a long-term strategy for preserving vision. Today, the doctor is required not only to see drusen, but also to quantitatively measure, assess in dynamics, calculate the risk, and explain to the patient his individual risks. It is thanks to these approaches that we are moving towards a new paradigm – personalized ophthalmology, where decisions are made based on objective digital data, enhanced by artificial intelligence.

    Sources:

      1. https://pubmed.ncbi.nlm.nih.gov/39558093/
      2. https://jamanetwork.com/journals/jamaophthalmology/fullarticle/2765650
      3. https://link.springer.com/article/10.1007/s00417-024-06389-x
      4. https://iovs.arvojournals.org/article.aspx?articleid=2804052
      5. https://www.ophthalmologyscience.org/article/S2666-9145(25)00182-4/fulltext
      6. https://www.nature.com/articles/s41433-024-03460-z
      7. https://www.ophthalmologytimes.com/view/arvo-2025-update-on-the-lightsite-iii-study-in-amd
  • Retinal Vein Occlusion: Detection with OCT and Modern Approaches to Monitoring and Treatment

    crvo
    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    3 min.

    Introduction

    Retinal vein occlusion (RVO) is one of the most common and clinically significant vascular disorders affecting the eye, often resulting in substantial visual impairment. This condition ranks second among causes of vision loss due to vascular disease, after diabetic retinopathy, placing a considerable burden on both healthcare systems and patients’ quality of life. Epidemiological studies show that the prevalence of RVO increases with age, and in populations with concomitant cardiovascular disease, the risk of developing occlusion rises severalfold.

    Despite a long history of study, it is the breakthroughs in instrumental diagnostics over the past decade that have fundamentally changed our approach to recognizing and managing RVO. Previously, assessment of the macula and retinal vasculature relied primarily on ophthalmoscopy. While still an important tool, it has inherent limitations.

    Optical coherence tomography (OCT) has revolutionized diagnostic standards. With its high resolution and ability to capture subtle structural changes within the retinal layers, OCT has become indispensable for determining disease severity, monitoring treatment efficacy, and conducting long-term follow-up. It allows for the detection of minimal early signs of edema, subclinical structural damage, and initial manifestations of ischemia—changes that were practically inaccessible for dynamic assessment 10–15 years ago.

    This level of precision is particularly critical for patients at increased risk of RVO. The most vulnerable groups include individuals with arterial hypertension, diabetes mellitus, glaucoma, coagulation disorders, as well as older adults, in whom the vascular walls may already have undergone degenerative or sclerotic changes.

    Importantly, modern RVO treatments require objective dynamic monitoring. OCT enables precise evaluation of structural changes, tracking of therapeutic response, and individualization of treatment strategies, helping to avoid both overtreatment and undertreatment.

    Thus, the role of OCT today goes far beyond simple visualization: it is a key tool for prognostic assessment, patient stratification, optimization of therapeutic decisions, and timely detection of complications.

    1. What RVO Is and Why It Occurs?

    Retinal vein occlusion (RVO) is a disruption of venous blood outflow in the retina due to partial or complete vein occlusion. As a result, the following occur:

    • Blood stasis
    • Increased venous pressure
    • Impaired capillary perfusion
    • Retinal edema, especially in the macular area
    • Risk of neovascularization

    Early detection is critical, as prompt treatment—particularly for macular edema—significantly increases the chances of preserving or restoring vision. Delayed diagnosis can lead to progression of ischemia, neovascularization, neovascular glaucoma, and persistent macular dysfunction.

    RVO also has important systemic implications: patients with a history of RVO have a higher risk of acute cardiovascular events (myocardial infarction, stroke, heart failure) compared with the general population. This emphasizes the need for comprehensive management, involving not only ophthalmologists but also other specialists, such as cardiologists.

    Central vs. Branch Retinal Vein Occlusion: Pathogenesis Differences

    • Central Retinal Vein Occlusion (CRVO) occurs when blockage happens at the level of the lamina cribrosa. Compression, arterial wall thickening, or thrombotic processes disrupt blood outflow from the entire retina. Typical signs include:
      • Diffuse hemorrhages
      • Marked macular edema
      • Increased risk of optic disc and iris neovascularization due to severe ischemia
      • Generally worsen prognosis than branch occlusions
    • Branch Retinal Vein Occlusion (BRVO) usually occurs at arteriovenous crossings, where a thickened artery compresses a vein, causing localized occlusion. Characteristic features include:
      • Localized edema and hemorrhages
      • Clear segmental distribution
      • Prognosis is generally better than that of CRVO, though macular edema may persist

    Key Risk Factors for RVO
    Modern studies and guidelines identify the following as the main risk factors:

    • Arterial hypertension
    • Atherosclerosis and age-related vascular changes
    • Diabetes mellitus (even without diabetic retinopathy)
    • Glaucoma and elevated IOP
    • Hypercoagulable states, thrombophilia
    • Obstructive sleep apnea
    • Age >50 years

    Rare cases of RVO associated with thromboembolic complications after COVID‑19 infection or vaccination have also been reported, highlighting the ongoing relevance of thrombotic mechanisms.

    Impact on Microcirculation and Vision


    RVO leads to:

    • Impaired normal venous outflow
    • Sharp elevation of hydrostatic venous pressure
    • Damage to the blood-retinal barrier
    • Leakage of plasma and cellular elements into the retinal interstitium, causing macular edema
    • Development of ischemic zones
    • Over time, thinning of inner retinal layers, neuroepithelial atrophy, and damage to the photoreceptor layer

    These changes are best assessed with OCT, which enables precise patient stratification and treatment planning. Timely diagnosis, proper monitoring, and early therapy are essential.

    2. OCT Signs of Retinal Vein Occlusion: Detecting Subtle Changes

    With the advent of OCT, detection of structural retinal changes in RVO has significantly improved—even at early stages without obvious clinical signs.

    Acute Stage Changes (first weeks after occlusion)

    • Macular edema:
      • Cystic spaces in inner retinal layers (INL, OPL)
      • Increased central retinal thickness
      • Subretinal fluid (serous neurosensory detachment)
    • Intraretinal hemorrhages: appear on OCT as hyperreflective areas with shadowing of underlying layers
    • Ischemia indicators:
      • Hyperreflectivity of neuroepithelium
      • Cotton-wool spots

    Chronic Stage Changes (months later)

    • Chronic ischemic and atrophic changes (thinning of inner retinal layers)
    • Disruption of photoreceptor layer (ELM and EZ)
    • Disorganization of inner retinal layers (DRIL)
    • Persistent edema (>6 months) indicates chronic RVO requiring therapeutic adjustment

    AI for OCT thus allows both acute diagnosis and long-term monitoring of ischemic progression or tissue remodeling.

    tissues

    rvo

    crvo

    3. Assessment of Macular Changes in RVO Using OCT

    OCT is now considered the gold standard for diagnosing, monitoring, and assessing treatment response in macular edema, including that associated with RVO.

    OCT is highly sensitive for:

    • Quantitative and qualitative analysis (central retinal thickness [CRT], macular volume [MV], size and number of cystic spaces, DRIL, photoreceptor layer integrity)
    • Evaluating treatment response
    • Detecting minimal residual cysts
    • Predicting visual acuity outcomes

    Typical OCT Findings in RVO:

    • Diffuse retinal thickening
    • Cystoid macular edema (localized cysts deforming normal retinal architecture)
    • Serous neurosensory detachment (indicative of blood-retinal barrier breakdown)
    • Disruption of EZ and ELM (photoreceptor involvement, critical for final visual acuity)

    These capabilities make OCT an integral part of modern RVO monitoring.

    rvo

    rvo 1

    rvo 2

    4. Top 3 Challenges in RVO OCT Analysis

    Despite its power, OCT assessment of RVO has significant limitations:

    1. Need for normative comparison
      Interpretation requires comparison with the patient’s contralateral eye or established normal values. Systemic vascular anomalies can affect both eyes, limiting standardization.
    2. Complexity with comorbidities
      Many RVO patients have systemic (hypertension, diabetes) or ophthalmic comorbidities (diabetic retinopathy, AMD, glaucoma, epiretinal membrane), complicating interpretation. It can be difficult to distinguish RVO-related changes from combined pathology.
    3. Requirement to consider clinical context
      OCT provides only part of the clinical picture. Accurate interpretation requires integration of symptoms, medical history, systemic factors, fundoscopic findings, and other diagnostic tests. Anatomical variations, comorbidities (glaucoma, cataract), and individual treatment response also necessitate a personalized approach.

    5. Treatment of RVO: Modern Approaches

    Currently, no treatment restores normal retinal venous circulation. Therefore, therapy focuses on controlling complications, primarily macular edema and preventing neovascularization (retinal, iris/optic disc, neovascular glaucoma, hemorrhages, and tractional changes).

    All RVO patients should receive systemic management, ideally in collaboration between an ophthalmologist and a cardiologist or internist. Monitoring of blood pressure, lipids, glucose, and coagulation factors is essential, as RVO often signals systemic vascular risk.

    Treatment decisions must be individualized, considering:

    • RVO subtype (CRVO vs. BRVO)
    • Edema severity
    • Clinical and OCT findings
    • Risk of adverse effects
    • Patient status (comorbidities, ability for regular follow-up)

    Anti-VEGF Therapy as First-Line Treatment

    Intravitreal anti-VEGF injections are the first-line therapy for macular edema associated with RVO. These drugs reduce vascular endothelial growth factor (VEGF) expression, lowering vascular permeability, fluid leakage, edema, and inhibiting pathological neovascularization.

    Commonly used agents:

    • Ranibizumab, Aflibercept, Faricimab: proven safe and effective for CRVO and BRVO-related macular edema; studies show significant improvements in best-corrected visual acuity (BCVA) and central macular thickness (CMT).
    • Bevacizumab: used off-label for macular edema and neovascularization.

    Long-term studies indicate anti-VEGF therapy provides sustained visual improvement for many patients, with injection frequency often decreasing over time.

    Advantages:

    • High efficacy for macular edema
    • Good tolerability and safety (systemic complications are rare)
    • Personalized treatment possible

    Limitations / Challenges:

    • Some patients respond insufficiently
    • Requires frequent injections (clinic visits, financial burden, potential complications, patient discomfort)
    • Chronic or refractory edema may require alternative or combination approaches

    Steroid Implants and Injections: Second-Line Therapy

    Dexamethasone intravitreal implant (OZURDEX) is approved for RVO-related macular edema, particularly when:

    • Anti-VEGF therapy is insufficient
    • Frequent injections are impractical (distance, transportation, cost)

    Steroids reduce inflammation, vascular permeability, and fluid accumulation, useful in chronic or resistant edema.

    Risks / Limitations:

    • Cataract (especially with repeated or long-term use)
    • Increased intraocular pressure (IOP), potential steroid-induced glaucoma

    Laser Therapy

    • Panretinal photocoagulation is effective for neovascularization.
    • Its use has declined with anti-VEGF availability, which offers strong anatomical and functional results.

    Surgical Approaches

    • Vitrectomy may be considered in selected cases.
    • Surgery carries risks and is reserved for situations where other treatments fail or are inappropriate.

    Combination Strategies

    • In practice, clinicians often combine anti-VEGF therapy with steroid implants or laser treatment, depending on disease course.
    • This can reduce total injection burden, minimize side effects, and improve outcomes in chronic or recurrent edema.

    Monitoring Frequency

    • Active macular edema or ongoing treatment requires regular OCT follow-up to evaluate therapeutic response and adjust injection intervals.
    • OCT schedule:
      • Monthly at treatment initiation
      • Individualized intervals using Treat-and-Extend protocols
      • Structural monitoring to prevent atrophic changes
    • Ischemic RVO patients have the highest neovascularization risk within the first 90 days; monthly monitoring during the first 6 months is critical.

    Conclusions and Recommendations

    RVO is a complex, multifactorial vascular disorder that can cause sudden and severe vision loss, particularly in patients with systemic risk factors. Modern management aims not only to address acute complications but also to control long-term structural retinal changes.

    OCT has transformed RVO care by providing:

    • Early detection of edema, subclinical ischemia, and architectural changes
    • Dynamic monitoring of treatment response, allowing timely adjustments and optimization
    • Improved long-term prognostication through evaluation of macular thickness, outer retinal layers, and fluid volume

    OCT helps identify edema type and secondary changes—atrophy, photoreceptor damage, inner retinal thinning—allowing a more accurate visual prognosis, especially in ischemic RVO.

    When combined with modern anti-VEGF agents, long-acting steroid implants, and personalized dosing regimens, OCT enables:

    • Reduction of unnecessary injections via interval optimization
    • Maximized treatment efficacy based on morphological findings
    • Prevention of recurrence and progression through early detection of edema

    Thus, OCT is not merely a visualization tool but a core element of clinical decision-making, improving patient management, preventing complications, and enabling more complete and stable visual recovery.

    Clinical Recommendation: Integrate regular OCT assessments into RVO management, with attention to macular thickness dynamics and outer retinal layer integrity for precise disease control and optimized therapeutic outcomes.

    References:

    1. https://pubmed.ncbi.nlm.nih.gov/38714470/
    2. https://www.rcophth.ac.uk/wp-content/uploads/2015/07/Retinal-Vein-Occlusion-Guidelines-Executive-Summary-2022.pdf
    3. https://www.mdpi.com/2077-0383/14/4/1183
    4. https://www.auctoresonline.org/article/clinical-therapeutic-orientation-in-retinal-venous-obstruction
    5. https://www.mdpi.com/2077-0383/10/3/405
    6. https://pmc.ncbi.nlm.nih.gov/articles/PMC10801953
    7. https://www.mdpi.com/2075-4418/13/19/3100
    8. https://karger.com/oph/article-abstract/242/1/8/255831/Microvascular-Retinal-and-Choroidal-Changes-in?redirectedFrom=fulltext
    9. https://link.springer.com/article/10.1007/s40123-024-01077-9
    10. https://pubmed.ncbi.nlm.nih.gov/39717563/
    11. https://provider-rvo.vision-relief.com/introduction/management/

     

  • Key Trends in Ophthalmology and Optometry in 2026

    trends
    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    3 min.

    Introduction

    The year 2026 in ophthalmology will not be defined by a single “major breakthrough,” but rather by the maturation of several directions whose discoveries and innovations are now transitioning into everyday clinical practice. While just a few years ago innovations were often perceived as isolated technologies far removed from real-world care (a new drug, device, or piece of equipment), today entire ecosystems are being formed: from early detection to long-term monitoring, from the ophthalmologist’s office to optometric screening, from a single consultation to a longitudinal patient journey supported by digital tools.

    The core logic of 2026 is a shift from reactive to proactive ophthalmology. Increasingly, the goal is to prevent disease at the stage of risk-factor modification, intervene in the earliest pathological changes, and track preclinical markers. This shift is visible across several dimensions: the growing role of telemedicine and portable diagnostics; autonomous AI becoming a public health tool; and oculomics, which enables ocular image analysis to serve as a source of early biomarkers for systemic conditions. At the same time, the treatment paradigm is evolving: where repeated procedures once dominated (for example, frequent intravitreal injections), 2026 brings a move toward extended-duration regimens, implant-based drug delivery platforms, and disease control with fewer clinic visits.

    Another important axis is the alignment of patient expectations. Some new approaches (for example, in the management of dry AMD and geographic atrophy) do not promise to “restore vision,” but rather to buy time—slowing structural retinal damage and functional vision loss. As a result, in 2026, risk–benefit communication and shared decision-making become almost as important as the choice of molecule or device itself.

    Below, we outline the key eye care trends of 2026: what is changing, why it matters, and how it will shape ophthalmic and optometric practice.

    trend pol

    1. New Approaches to Treatment

    1.1. Geographic Atrophy (GA): The Introduction of Active Treatment in eye care trends 2026

    1.1.1. Injectable Therapies as Ophthalmology Trends 2026

    Following the development of injectable therapies for geographic atrophy, clinical practice is entering a “second wave” phase—where the main questions are no longer whether therapy is possible for a disease historically considered untreatable, but how that therapy should be practically implemented. In 2026, the focus will be on patient selection, treatment initiation, dosing frequency and duration, as well as monitoring.

    Currently, the FDA has approved the following injectable therapies for GA:

    • Izervay (avacincaptad pegol) — a C5 complement inhibitor.
    • Syfovre (pegcetacoplan) — a C3 complement inhibitor.

    Their mechanism of action involves reducing chronic inflammation and cellular damage in the retina and—most importantly—slowing the rate of GA lesion expansion.

    Because most available data focus on slowing atrophy progression (an anatomical endpoint) rather than guaranteed improvements in visual acuity, properly managing patient expectations becomes particularly critical in 2026. Clear discussions about therapeutic goals and limitations are emphasized in review publications addressing the first approved GA treatments.

    ga injections

    1.1.2. Multiwavelength Photobiomodulation

    Multiwavelength photobiomodulation is one of the most promising emerging approaches aimed at halting or slowing the progression of dry AMD through modulation of mitochondrial activity. The use of specific wavelengths (red and near-infrared light, approximately 590–850 nm) may reduce oxidative stress in retinal cells, inflammation, and apoptosis of retinal pigment epithelium cells.

    Its appeal is clear: a non-invasive procedure with significantly better acceptability for some patients compared with regular injections.

    Until recently, its effectiveness remained debated, with studies showing only temporary functional improvement and reduction in drusen volume. At ARVO 2025, updated results from the LIGHTSITE III study demonstrated that photobiomodulation can significantly slow visual acuity decline and reduce the rate of GA expansion.

    In 2025, the FDA approved photobiomodulation for AMD, creating strong prospects for broader clinical adoption in 2026.

    The 2026 trend is correct positioning and stratification:

    • Use of photobiomodulation based on clear indications for specific dry AMD stages and patient profiles.
    • Transparent communication of expectations, with goals focused on functional support and slowing GA progression rather than guaranteed vision restoration.

    photobiomodulation

    1.2. Extended Anti-VEGF Treatment Regimens

    Another major trend is the shift toward regimens with reduced injection frequency. This is not merely about comfort, but primarily about preventing missed visits: patients with AMD and diabetic retinopathy with DME often fall out of treatment due to visit burden. Thus, 2026 reinforces the principle that treatment must be effective in real-world conditions, not only under ideal adherence.

    The ranibizumab port delivery system (Susvimo, Port Delivery System) has become emblematic of this trend. In 2025, the FDA also approved Susvimo for the treatment of diabetic retinopathy.

    1.3. Gene Therapy for Macular Telangiectasia Type 2 (MacTel 2)

    MacTel 2 is a chronic, progressive neurodegenerative retinal disease that previously lacked active treatment.

    In 2025, the first implantation of ENCELTO (revakinagene taroretcel)—the first and currently only FDA-approved gene therapy for MacTel 2—was performed in the United States. ENCELTO enables a shift from observation to active intervention, with the potential to preserve visual function in early-stage patients.

    The device is based on encapsulated cell therapy technology: a capsule containing genetically modified cells that continuously secrete recombinant human ciliary neurotrophic factor (CNTF), acting as a neuroprotective agent that slows photoreceptor degeneration.

    In 2026, the focus will move from “innovation storytelling” to routine clinical implementation, including defining early selection criteria, monitoring protocols (OCT biomarkers, functional testing), and accumulating real-world long-term data on photoreceptor preservation and visual function.

    1.4. Gene Therapy for Neovascular AMD: Closest to Real Transformation

    For neovascular AMD, gene therapy remains one of the most anticipated eye care trends 2026 directions, as it has the potential to fundamentally change treatment logic—from repeated injections to a single vector administration enabling long-term therapeutic protein expression. Reviews published in 2025 highlight active programs such as RGX-314, ADVM-022 (Ixo-vec), 4D-150, and others.

    In 2026, the key questions shift from “does it work?” to “how does it work across different patient groups?” including:

    • Stability and duration of expression;
    • Inflammatory and immune response profiles;
    • Need for supplemental anti-VEGF therapy;
    • Patient selection criteria;

    Injection centers and post-procedure monitoring standards.

    2. Oculomics: The Eye as a “Window to the Body” and a Source of Digital Biomarkers

    Oculomics is one of the most compelling trends of 2026, as it reshapes ophthalmology’s role within medicine as a whole. The concept is simple: the eye is the only structure where microvasculature, neurons, and signs of metabolic and inflammatory processes can be visualized non-invasively at high resolution. As a result, fundus and OCT/OCTA data may serve as biomarkers for systemic conditions—from cardiovascular risk to neurodegenerative diseases.

    oculomics

    In contemporary research, oculomics is described as an approach that uses retinal images to assess systemic risks and conditions, with potential scalability for screening. In 2026, this “scale” becomes critical: data may originate not only from ophthalmology clinics, but also from optometric practices, mobile screening programs, and telemedicine.

    What truly changes in 2026:

    • A transition from “interesting correlations” to clinical utility, with models expected to demonstrate actionable impact on patient management.
    • Data verification and management of false-positive risk, including the communication of systemic risk to patients.
    • Integration with AI, as multidimensional patterns often exceed human interpretive capacity.

    A major risk in 2026 is over-marketing, reinforcing the need for externally validated models with clear clinical context that do not generate unnecessary “medical noise.”

    3. AI Technologies: From Decision Support to Autonomous Screening and Managed Patient Pathways

    votes

    3.1. Autonomous Diabetic Retinopathy Screening as a Scalable Standard

    In 2026, diabetic retinopathy remains the most studied use case for autonomous AI. In the United States, three FDA-approved autonomous DR screening systems are already described (LumineticsCore/IDx-DR, EyeArt, AEYE-DS). This positions AI as a practical tool capable of influencing large-scale screening programs, particularly in primary care, endocrinology clinics, and mobile settings.

    The FDA approval of AEYE-DS as a fully autonomous solution (portable camera plus algorithm) underscores that in 2026, AI increasingly “works where the patient is,” not only where an ophthalmologist is present.

    3.2. 2026 as the Year of Integration

    Successful projects in 2026 will be distinguished by:

    • Image quality standards and quality control;
    • Clear referral rules and urgency levels;
    • Mechanisms to ensure patient follow-through (scheduling, reminders, visit tracking);
    • Transparent documentation for clinicians, patients, and audit purposes.

    3.3. AI as “Invisible Infrastructure”

    In 2026, AI increasingly functions as invisible infrastructure: highlighting high-risk cases, prioritizing queues, generating structured reports, and standardizing interpretation. The impact is reduced variability, faster routing, and fewer missed cases.

    4. Telemedicine: From Video Calls to Retinal Screening and Remote Management

    By 2026, telemedicine in ophthalmology is no longer synonymous with video consultations. Its foundation is tele-imaging: transmission and assessment of retinal images (fundus photos, sometimes OCT) with structured referral protocols.

    At the same time, limitations become more openly discussed. Certain conditions and components of assessment may be less accurately captured remotely, requiring clear protocols to define which patients can be managed remotely and which require in-person examination.

    The 2026 trend is a shift from “tool” to “pathway”:

    • Tele-screening as the first step;
    • Automated or semi-automated reporting;
    • Referral and follow-up control;

    Remote reassessment for ongoing risk monitoring.

    5. New Devices and Portable Diagnostics: Closer, Faster, More Scalable Care

    trend vote

    5.1. Portable Diagnostics as the Foundation of Coverage

    Portable fundus cameras and compact diagnostic systems represent one of the most practical changes of 2026. Their value lies not only in technology, but in enabling large-scale screening in locations without full ophthalmic infrastructure.

    Synergy with autonomous AI (such as AEYE-DS) is especially strong here, supporting new partnership models:

    • Endocrinology and primary care clinics;
    • Optical stores and optometric practices;
    • Mobile programs for workplaces or regions.

    5.2. Devices Deliver Value Only with Quality Protocols

    Success depends not just on acquiring devices, but on defined protocols:

    • Staff training in image acquisition;
    • Minimum quality criteria;
    • Retake rules;
    • Handling ungradable cases.

    In 2026, image quality becomes decisive, as AI and telemedicine depend on it.

    5.3. Home and Remote Monitoring for Extended Treatment Regimens as eye care trends 2026

    As treatment intervals lengthen, the risk of between-visit deterioration increases. Thus, 2026 strengthens the role of:

    • Home functional monitoring;
    • Digital questionnaires and symptom trackers;

    Remote checkpoints signaling the need for earlier recall.

    6. 2026 as the Year of Standardized Myopia Control and Greater Risk Awareness

    By 2026, myopia control is no longer debated but formalized, grounded in consensus documents and systematic reviews. Myopia is increasingly recognized as a chronic disease with stages, phenotypes, and potentially blinding complications.

    Implications for practice:

    1. Focus on preventing progression to high myopia.
    2. Combined strategies integrating behavioral, optical, and pharmacologic interventions with monitoring.
    3. A shared language between optometrists and ophthalmologists, with coordinated patient pathways.
    4. Support from AI and telemedicine for risk detection and personalized care.

    Myopia control in 2026 becomes a structured, long-term risk-reduction process.

    7. Optogenetics: Expanding the Evidence Horizon in Inherited Retinal Degenerations

    In 2026, optogenetics moves beyond concept into longer-term observation. Publications from 2025 highlight functional stabilization or improvement in retinitis pigmentosa, emphasizing pragmatic success criteria.

    For patients with severe vision loss, meaningful outcomes extend beyond visual acuity charts to spatial orientation, object recognition, and contrast sensitivity. In 2026, discussions increasingly focus on realistic endpoints and honest communication of limitations.

    8. Less Invasive Interventions and Patient Comfort as Components of Clinical Effectiveness

    Another key eye care trends 2026 is less traumatic technology that preserves efficacy while improving patient experience. A notable example is the FDA approval of Epioxa (epi-on) for keratoconus in 2025, preserving corneal epithelium and potentially reducing pain and recovery time.

    This trend spans refractive surgery, ocular surface disease, and chronic condition management, reinforcing that patient experience is integral to adherence and clinical outcomes.

    trends summary

    Conclusion

    The ophthalmology trends 2026 clearly demonstrate that ophthalmology and optometry are entering a phase of mature transformation, where success is driven not by isolated innovations but by their integration into coherent clinical pathways. The focus is shifting from treating consequences to early detection, slowing progression, and long-term management of chronic eye disease.

    Active treatment of geographic atrophy, photobiomodulation, extended anti-VEGF regimens, and the emergence of gene therapies for MacTel 2 and neovascular AMD fundamentally reshape patient management—from observation or frequent procedures to strategies aimed at preserving retinal structure and function with minimal procedural burden. These approaches require careful patient stratification and responsible expectation management, as the goal increasingly becomes slowing neurodegeneration rather than restoring vision.

    At the diagnostic level, 2026 reinforces decentralization: portable devices, telemedicine, and autonomous AI bring screening closer to patients and enable coverage of much broader populations. Oculomics and AI transform ocular images into sources of digital biomarkers that may influence not only ophthalmic but also general clinical management. At the same time, it becomes clear that technological value is defined not by algorithms or devices, but by data quality, model validation, and clearly structured patient pathways—from screening to treatment.

     

  • Diabetic Retinopathy Screening and Treatment: a Complete Guide

    dr
    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    5 min

    Diabetic retinopathy screening and treatment: a complete guide

    Table of Contents

    1. What are the diabetic retinopathy screening methods?
    2. Fundus images in DR screening
    3. Can OCT detect diabetic retinopathy?
    4. What does diabetic retinopathy look like on OCT?
    5. What is optimal diabetic retinopathy screening frequency?
    6. What is the best treatment for diabetic retinopathy?
    7. Diabetic retinopathy management: key takeaways

     

    Diabetic retinopathy (DR) remains the leading cause of irreversible vision loss among working-age adults worldwide. According to the International Diabetes Federation (IDF), one in three patients with diabetes shows signs of DR, and 10% develop diabetic macular edema (DME). Early diagnosis, systematic screening, and individualized monitoring are essential to prevent vision loss.

    What are the diabetic retinopathy screening methods?

    Modern methods of DR screening include:

    • Telemedicine platforms – enable automated transmission of fundus images
    • Mobile fundus cameras – Wi-Fi–enabled devices for field examinations
    • Smartphone-based platforms – use specialized lenses for retinal imaging
    • Optical coherence tomography (OCT) – used to detect early retinal changes and diabetic macular edema, complementing fundus photography
    • AI-based systems –  solutions for automated image analysis for fundus and OCT

    In practice, these methods are often combined. For example, patients may undergo fundus photography, after which images are sent to telemedicine centres and analysed by AI algorithms. More complex cases are then referred to ophthalmologists.

    DR screening is frequently incorporated into annual diabetes check-ups conducted by primary care physicians trained in basic fundus photography. This approach, already successfully implemented in several EU countries, has reduced the incidence of severe DR.

    Innovations in DR screening have broadened access for rural residents, older adults, and individuals with limited mobility. Integration into national e-health systems enables automated reminders and electronic medical record linkage, incorporating laboratory data (HbA1c, blood pressure) alongside retinal images.

    Fundus images in DR screening

    Fundus photography is the optimal primary screening method due to its high diagnostic yield, cost-efficiency, simplicity, and ability to integrate with AI and telemedicine solutions. 

    It enables detection of microaneurysms, hemorrhages, exudates, and neovascularization, often before symptoms arise. National screening programs rely heavily on digital fundus imaging, which, when combined with AI, provides an efficient platform for mass DR detection.

    Advances in fundus imaging for diabetic retinopathy have improved efficiency. Modern non-mydriatic cameras deliver high-quality images without pupil dilation, while automated image analysis supports rapid identification of suspicious cases. Cloud storage and telemedicine platforms facilitate remote evaluation, increasing coverage in regions with limited ophthalmology services.

    Next-generation wide-field cameras further enhance detection by capturing peripheral pathology. Some devices also generate automated annotations, reporting lesion type, DR stage, and DME presence, thereby standardizing interpretation and expediting clinical decision-making.

    Diabetic retinopathy screening with fundus
    Diabetic retinopathy detection from fundus images

    Can OCT detect diabetic retinopathy?

    Yes. OCT can detect early structural changes in the retina and is increasingly used to complement standard diabetic retinopathy screening.

    • Role in DR screening – While not a primary screening tool, OCT is now widely applied alongside fundus photography. It is especially valuable for detecting early diabetic macular edema (DME) and subtle morphological changes in the central retina not visible during ophthalmoscopy.
    • High-resolution imaging – OCT visualizes changes such as photoreceptor layer disruption, subclinical intraretinal fluid, neurosensory retinal thickening, and foveal edema. These findings often appear before clinically significant macular edema.
    • Differential diagnosis – OCT also helps identify other causes of vision loss in diabetic patients, for example, ruling out age-related macular degeneration.
    • Clinical evidence – Studies confirm that combining OCT with fundus photography increases diagnostic accuracy for DME. Experts therefore recommend this approach for patients with long-standing diabetes, poor glycemic control, or vision complaints.

    What does diabetic retinopathy look like on OCT?

    On OCT, diabetic retinopathy (DR) can appear as a combination of retinal structural damage, fluid accumulation, and microvascular changes that may not be visible on fundus photography.

    Typical OCT findings in DR include:

    • Photoreceptor damage – loss of outer retinal layers, especially the ellipsoid zone
    • Intraretinal hyperreflective foci, hard exudates
    • Microaneurysms – visible as small, round changes within the retina
    • Retinal thickness changes and neuroepithelial layer atrophy
    • Diabetic macular edema  – with intraretinal hyporeflective cystoid spaces and neuroepithelial swelling
    • Subretinal fluid  – resulting from increased vascular permeability
    • DRIL – disorganization of inner retinal layers, associated with poor prognosis
    • Epiretinal membranes – potential precursors to retinal detachment

     

    Advanced findings
    OCT can also reveal proliferative changes and tractional zones, which may progress to tractional retinal detachment.

    OCTA insights
    Beyond structural analysis, OCT angiography (OCTA) allows visualization of retinal microvascular changes without the contrast injection. OCTA helps identify areas of neovascularization, capillary network disruption, and the degree of macular ischemia.

    Diabetic retinopathy screening OCT
    Diabetic retinopathy (hyperreflective foci, moderate destruction of the ellipsoid zone and RPE), diabetic macular edema (neuroepithelium edema, intraretinal cystic cavities), epiretinal membrane

    What is optimal diabetic retinopathy screening frequency?

    The screening frequency for diabetic retinopathy is tailored to diabetes type, disease stage, and risk factors:

    Type 1 diabetes

    • First screening: 3–5 years after diagnosis (due to onset in children and young adults)
    • Then annually, if no DR is detected
    • If DR is present, frequency depends on severity

    Type 2 diabetes

    • Screening at diagnosis, as DR may already be present.
    • If no DR, repeat every 1–2 years.

    Patients with confirmed DR

    • No visible DR, mild non-proliferative diabetic retinopathy (NPDR), no DME — every 1–2 years
    • Moderate NPDR — every 6–12 months.
    • Severe NPDR — every 3 months.
    • Proliferative DR (PDR) — monthly, with regular OCT monitoring of the macula.
    • DME — monthly if center-involving, every 3 months if not.

    Pregnant women with type 1 or type 2 diabetes

    • Screening before conception or in the first trimester, with follow-up each trimester and postpartum
    • Screening is not required for gestational diabetes without pre-existing diabetes

    Post-treatment patients (laser or vitrectomy)

    • Typically, every 3–6 months during the first year, individualized based on retinal stability
    Screening DR with OCT
    Diabetic retinopathy (hyperreflective foci, microaneurysms, destruction of the ellipsoid zone and RPE), diabetic macular edema (neuroepithelial swelling, intraretinal cystic cavities), epiretinal membrane.

    Monitoring of diabetic retinopathy progression

    Ongoing diabetic retinopathy monitoring is essential to detect early signs of progression and guide treatment decisions. A key focus in monitoring is diabetic macular edema (DME), which represents fluid accumulation in the macula due to leakage from damaged retinal vessels. DME is a common complication of DR and the leading cause of vision loss in diabetic patients. OCT plays a central role in detecting DME and identifying structural changes that indicate disease progression.

    OCT biomarkers in DME

    OCT enables precise visualization of retinal layers with micron resolution, confirming DME presence and providing prognostic biomarkers for treatment selection and monitoring. 

    The main OCT biomarkers in DME include:

    • Cystoid hyporeflective intraretinal spaces – usually in the inner nuclear layer (INL) or outer plexiform layer (OPL). Their number, size, and location correlate with edema severity. Large or confluent spaces may indicate chronicity and a worse prognosis.
    • Subretinal fluid – accumulation between the neurosensory retina and retinal pigment epithelium. Often associated with a better visual prognosis, but requires close monitoring and consideration in anti-VEGF therapy.
    • Central macular thickening – a key marker of treatment effectiveness and disease activity.
    DME screening as the process of DR screening
    Diabetic retinopathy (hyperreflective foci, hard exudates), diabetic macular edema (neuroepithelial swelling, intraretinal cystic cavities).

    OCT red flags in DR progression

    Beyond DME, OCT helps identify broader signs of DR worsening that require therapy reassessment:

    • Progressive central macular thickening despite treatment
    • Increase in intraretinal or subretinal fluid, or enlargement of cystoid spaces
    • New hyperreflective foci, reflecting inflammatory activity (these may precede hard exudates or RPE changes)
    • Development or progression of disorganization of inner retinal layers (DRIL), an independent predictor of poor prognosis, even when orphological improvement is seen on OCT
    • Ellipsoid zone disruption, indicating photoreceptor damage
    • Signs of macular ischemia, although better evaluated with OCTA, indirect signs on OCT may include thinning of the inner retinal layers.
    • Tractional changes, such as epiretinal membranes, inner retinal stretching, or macular traction
    OCT biomarkers in DME
    Diabetic retinopathy (hyperreflective foci, hard exudates, destruction of the ellipsoid zone and RPE, disorganisation of the retinal inner layers (DRIL)), Diabetic macular edema (neuroepithelial swelling, intraretinal cystic cavities), subretinal fluid.

    The appearance of these OCT features should prompt clinicians to reconsider therapy, whether by switching anti-VEGF agents, introducing steroids, using combination therapy, or referring patients for surgical evaluation when traction is present.

    Example of diabetic retinopathy screening OCT
    Diabetic retinopathy (hyperreflective foci, hard exudates, destruction of the RPE), Diabetic macular edema (neuroepithelial swelling, intraretinal cystic cavities), subretinal fluid.

    What is the best treatment for diabetic retinopathy?

    The treatment of diabetic retinopathy is based on a comprehensive approach that takes into account not only the disease stage, but also individual patient characteristics, OCT findings, comorbidities, and prognostic biomarkers. Modern strategies combine preventive, pharmacological, and surgical methods, as well as personalized medicine tools based on retinal imaging.

    Criteria for treatment selection

    The choice of therapy is guided by the following parameters:

    • DR stage –  non-proliferative, proliferative, with or without DME
    • Form of macular edema –  focal, diffuse, with or without subretinal fluid
    • Presence of DRIL, EZ disruption, ischemic changes on OCTA
    • Response to previous treatment –  anti-VEGF, steroids, laser
    • Comorbidities –  renal insufficiency, hypertension, poor adherence

    For low-risk patients, observation or focal laser may be sufficient. Patients with significant DME usually require anti-VEGF or steroid injections. Those with proliferative DR often undergo panretinal laser photocoagulation or vitrectomy.

    Diabetic retinopathy treatment methods

    The main treatment options for diabetic retinopathy include pharmacotherapy, laser therapy, surgical intervention, and personalized approaches based on OCT.

    1. Pharmacotherapy: anti-VEGF and steroids

    Anti-VEGF agents such as aflibercept, ranibizumab, and bevacizumab are the first-line therapy for diabetic macular edema. They are especially effective in patients with pronounced edema and without ischemia.

    New drugs with extended duration of effect, including port delivery systems, are becoming available.

    Steroids are used when DME is persistent, when patients do not respond to anti-VEGF therapy, or in cases with an inflammatory phenotype.

    2. Laser therapy

    Injections have largely replaced laser therapy in the treatment of DME. However, panretinal photocoagulation remains the standard treatment for proliferative DR.

    Subthreshold micropulse laser is increasingly applied for focal edema, as it minimizes tissue damage.

    3. Surgical treatment

    Vitrectomy is recommended in cases of tractional macular edema, vitreous hemorrhage, or retinal detachment.

    4. Personalization with OCT

    Modern treatment protocols use OCT biomarkers to tailor therapy and improve prognosis.

    Patient education and multidisciplinary care

    DR treatment outcomes strongly depend on adherence. Patients must be informed about the need for regular injections, monitoring, and systemic control. Coordinated care involving ophthalmologists, endocrinologists, and family doctors helps maintain stable glycemic control and slows DR progression.

    Diabetic retinopathy management: key takeaways

    Diabetic retinopathy is a progressive disease, but modern diagnostics and treatments make it possible to preserve vision and improve outcomes. OCT and OCTA have become essential tools for early detection, risk assessment, and personalized therapy planning. Effective management combines pharmacotherapy, laser treatment, surgery, and patient education. Multidisciplinary care and strong patient adherence remain crucial for long-term success. With timely monitoring and tailored treatment, the progression of diabetic retinopathy can be significantly slowed.

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

  • Altris Achieves MDSAP Certification, Strengthening Global Presence and Clinical Credibility

    AI Ophthalmology and Optometry | Altris AI Altris Inc.
    22.08.2025
    1 min.

    22.08.2025

    Altris Achieves MDSAP Certification, Strengthening Global Presence and Clinical Credibility

    Altris Inc., a leading decision support platform for OCT scan analysis, proudly announces that it has passed the Medical Device Single Audit Program (MDSAP) audit. 

    Based on the objective evidence reviewed, this audit enables a recommendation for Initial certification to ISO 13485:2016 MDSAP, including the requirements of Australia, Brazil, Canada, the USA, and Japan, and EU 2017/745, and that the scope was reviewed and found to be appropriate for ISO 13485:2016/MDSAP and EU MDR 2017/745.

    The results of this audit are suitable for obtaining the EU MDR 2017/745 certificate, which we are currently in the process of pursuing.

    ISO 13485:2016/MDSAP enables Altris Inc. to “design, manufacture, and distribute medical software for the analysis and diagnosis of retinal conditions globally.” It is recognized by leading global health regulators and signals trust and credibility to public and private hospitals, eye care networks, and optometry chains worldwide. 

    MDSAP Certification also opens the door for Altris Inc. to enter new international markets, including Asia-Pacific, Latin America, and additional parts of North America. The MDSAP certification allows a single regulatory audit of Altris AI’s Quality Management System (QMS) to be recognized by multiple major health authorities, including:

    • FDA (United States)
    • Health Canada
    • TGA (Australia)
    • ANVISA (Brazil)
    • MHLW/PMDA (Japan)

    MDSAP enforces that the Quality Management System for developing, testing, and maintaining AI Decision Support for OCT complies with international medical device standards. Altris AI Decision Support for OCT Analysis system that facilitates the detection and monitoring of over 70 retinal pathologies and biomarkers, including early signs of glaucoma, diabetic retinopathy, and age-related macular degeneration. 

    “Achieving ISO 13485:2016 certification under the stringent MDSAP requirements is a significant accomplishment for our team,” said Maria Znamenska, MD, PhD, Chief Medical Officer at Altris AI. “As a practicing ophthalmologist, I understand that the safety of patients is the absolute priority. Especially when implementing such an innovative technology as AI for decision support in OCT analysis. That is why we did everything possible to build quality processes that guarantee the highest level of safety for the patients.

    This certification enables Altris AI to expand its presence and offer eye care specialists upgraded functions such as GA progression monitoring, flags for smart patient filtering, or automated drusen count.”

    “This is more than a regulatory milestone for our team  – it’s a signal to the global eye care community that Altris AI is a trusted clinical partner,” said Andrey Kuropyatnyk, CEO of Altris AI. 

    About Altris 

    Founded in 2017, Altris AI is at the forefront of integrating artificial intelligence analysis into ophthalmology and optometry.

    The company’s platform is designed to assist eye care professionals in interpreting OCT scans with greater objectivity and make informed treatment decisions. It’s a vendor-neutral platform compatible with OCT devices from 8 major global manufacturers. With a commitment to innovation and compliance, Altris AI continues to develop solutions that set higher standards in the eye care industry and improve patient outcomes.

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

     

  • Glaucoma OCT Monitoring Guide: From Detection to Long-Term Care

    glaucoma
    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    5 min

    Glaucoma OCT Monitoring Guide: From Detection to Long-Term Care

    Table of Contents

    1. Glaucoma detection: why early diagnosis is critical
    2. How to detect glaucoma in early stages: key approaches
    3. Advanced imaging for glaucoma: OCTA
    4. OCT glaucoma monitoring after diagnosis
    5. Additional tools for monitoring glaucoma treatment
    6. Glaucoma OCT: the foundation of long-term glaucoma care

    Optical Coherence Tomography (OCT) has fundamentally changed glaucoma diagnostics over the past two decades. It enables non-invasive, micron-level imaging of retinal microstructures and provides objective measurements of the retinal nerve fibre layer (RNFL), ganglion cell complex (GCC), and optic nerve head (ONH) parameters. Moreover, the advent of OCT angiography (OCTA) has introduced a new dimension in assessing microcirculation—complementing structural analysis and potentially predicting glaucoma progression.

    Today,  OCT is the standard for early detection, monitoring, and risk stratification of glaucoma progression, as recognised in international clinical guidelines. When combined with functional tests, tonometry, and anterior chamber angle assessment, OCT becomes the foundation for personalised glaucoma management.

    Glaucoma detection: why early diagnosis is critical

    Early glaucoma diagnosis is vital, as optic nerve damage caused by the disease is irreversible. Many patients seek care only after significant vision loss has occurred, at which point treatment may slow progression but cannot restore lost function. This is why ophthalmologists emphasise the importance of glaucoma detection at preclinical or pre-perimetric stages.

    How does OCT help in early glaucoma detection?

    OCT provides high-resolution imaging of the retina and optic nerve head. Unlike subjective functional tests, OCT delivers objective, quantitative data on ganglion cells, nerve fibre layers, and the neuroretinal rim, enabling recognition of even subtle structural changes.

    Recent OCT models go further, allowing detailed visualisation of the lamina cribrosa, a structure known to be altered in glaucoma. Today, OCT is recognised as a key diagnostic tool in the guidelines of both the European Glaucoma Society and the American Academy of Ophthalmology.

    How to detect glaucoma in early stages: key approaches

    Early glaucoma detection relies on evaluating structural and functional parameters of the eye, supported by advanced imaging techniques. The three main parameters assessed with glaucoma OCT are:

    • Ganglion Cell Complex (GCC) thickness and asymmetry
    • Retinal Nerve Fibre Layer (RNFL) thickness
    • Optic nerve head parameters with the DDLS scale

    In addition, OCT Angiography (OCTA) provides complementary insights into ocular microvasculature that may indicate early glaucomatous damage.

    Glaucoma detection parameter 1: GCC thickness and asymmetry

    One of the most sensitive preclinical biomarkers of glaucomatous damage is thinning of the ganglion cell complex (GCC), which includes the ganglion cell layer (GCL), inner plexiform layer (IPL), and macular RNFL (mRNFL). It is assessed through macular OCT scans. Damage in this area is particularly critical, as 50–60% of all ganglion cells are concentrated within the central 6 mm zone.

    Assessing asymmetry between the superior and inferior halves of the macula within the GCC is a key diagnostic indicator. Studies show that minimum GCC thickness and FLV/GLV indices (Focal Loss Volume / Global Loss Volume) are predictors of future RNFL thinning or emerging visual field defects. Asymmetry maps significantly ease clinical interpretation.

    A newer approach—vector analysis of GCC loss—also allows clinicians to visualise the direction of damage, which often correlates with future visual field defects.

    Measuring Ganglion Cell Complex (GCC) Thickness and GCC Asymmetry

    Glaucoma detection parameter 2: RNFL thickness analysis

    RNFL analysis is among the most widely used glaucoma diagnostic methods. The RNFL reflects the axons of the ganglion cells and is readily measured in optic nerve scans. Temporal sectors are the most sensitive and often show the earliest changes.

    Even when the overall thickness appears normal, localised defects should raise suspicion. Sectoral thinning of ≥5–7 μm is considered statistically significant. Age-related RNFL decline (~0.2–0.5 μm/year) must also be considered.

    Glaucoma detection parameter 3: optic nerve head parameters and the DDLS scale

    Evaluating the optic nerve head (ONH) is essential. OCT enables automated assessment of optic disc area, cup-to-disc ratio (C/D), cup volume, rim area, and the lamina cribrosa.

    The Disc Damage Likelihood Scale (DDLS) classifies glaucomatous ONH changes based on the thinnest radial rim width or, if absent, the extent of rim loss. Unlike the C/D ratio, DDLS adjusts for disc size. When combined with OCT, DDLS significantly enhances objective clinical assessment.

    In high myopia, automatic ONH segmentation often misclassifies anatomy. Here, newer deep learning–based segmentation models improve accuracy.

    Evaluating the optic nerve head (ONH)

    Advanced imaging for glaucoma: OCTA

    OCT Angiography (OCTA), an advanced glaucoma OCT technique, provides unique insights into ocular circulation. It enables evaluation of:

    • Vessel density in the peripapillary region
    • Optic nerve and macular vascularisation
    • Retinal versus ONH perfusion in both eyes

    OCTA for early glaucoma detection

    Studies confirm that reduced vessel density correlates with RNFL loss and visual field deterioration, and often precedes both.

    OCT glaucoma monitoring after diagnosis

    Glaucoma can progress even with stable intraocular pressure (IOP), making regular structural assessment of the optic nerve and inner retina crucial for therapy adjustment.

    Glaucoma OCT is not only a diagnostic tool but also the primary method for monitoring glaucomatous damage. Unlike functional tests, OCT can detect even minimal RNFL or GCL thinning months or even years before visual field loss appears. With serial measurements and built-in analytics, OCT allows clinicians to track glaucoma progression rates and identify high-risk patients.

    Methods for glaucoma progression monitoring

    There are two main approaches to monitoring glaucoma progression with OCT:

    Method 1: event-based analysis

    This method compares current scans with a reference baseline, identifying whether RNFL or GCL thinning exceeds expected variability.

    ? Example: Heidelberg Eye Explorer (HEYEX) highlights suspicious areas in yellow (possible loss) or red (confirmed loss).

    Limitations include sensitivity to artifacts, image misalignment, and segmentation quality. A high-quality baseline scan is essential.

    Method 2: trend-based analysis

    This approach accounts for time. The software plots RNFL/GCL thickness trends over time in selected sectors or globally and calculates the rate of progression.

    Examples:

    • RNFL thinning >1.0 μm/year is clinically significant.
    • Thinning >1.5 μm/year indicates active progression.

    It also accounts for age-related changes, helping differentiate physiological vs. pathological decline.

    Visual assessment in glaucoma OCT

    Qualitative analysis also plays an important role in detecting glaucoma progression. Key aspects include:

    • Focal RNFL thinning (localised defects)
    • Changes in the neuroretinal rim
    • Alterations in ONH cupping
    • GCL/GCIPL comparison (superior vs. inferior) on macular maps
    • New segmentation artifacts (may mimic progression)

    Visual glaucoma OCT analysis

    OCT glaucoma findings that indicate true progression

    Five OCT findings suggest true glaucomatous progression:

    1. RNFL thinning >10 μm in one sector or >5 μm in several sectors
    2. New or worsening GCL asymmetry (yellow to red colour shift)
    3. Emerging or expanding RNFL defects on colour maps
    4. Increasing C/D ratio with concurrent rim thinning
    5. New localised areas of vessel density loss on OCTA

    Particular attention should be paid to the inferotemporal and superotemporal RNFL sectors, where 80% of early changes occur.

    Frequency of glaucoma OCT monitoring

    According to the AAO and EGS, the recommended frequency for OCT glaucoma monitoring is:

    • High-risk patients: every 6 months
    • Stable patients: once a year
    • For trend analysis: at least 6–8 scans over 2 years to ensure statistical reliability

    Looking ahead, broader use of AI for glaucoma is expected to support earlier and more accurate detection, while also reducing false positives.

    Additional tools for monitoring glaucoma treatment

    While glaucoma OCT is essential for detecting structural changes, a comprehensive glaucoma assessment requires a multimodal approach. Additional tools include perimetry, tonometry, optic disc fundus photography, and gonioscopy.

    Perimetry (visual field testing)

    Functional assessment of the optic nerve remains crucial. Standard Automated Perimetry (SAP), most often performed with Humphrey Visual Field Analyzer protocols (24-2, 30-2, 10-2), is the most widely used method.

    Key indices:

    • MD (mean deviation): average deviation from normal values
    • PSD (pattern standard deviation): highlights localised defects
    • VFI (visual field index): summarises global visual function; useful for tracking glaucoma progression
    • GHT (glaucoma hemifield test): automated analysis of field asymmetry

    ? Important: In 30–50% of cases, structural changes such as RNFL thinning on OCT precede visual field defects; in others, functional loss appears first. Best practice relies on integrated OCT and perimetry to correlate damage location and monitor glaucoma progression more precisely.

    Combined OCT and perimetry remains the gold standard for progression monitoring.

    Tonometry

    Intraocular pressure (IOP) is the only clearly modifiable risk factor associated with both glaucoma onset and progression.

    • Goldmann applanation tonometry remains the gold standard.
    • A single IOP reading is insufficient — diurnal fluctuations are an independent risk factor, particularly in normal-tension glaucoma.

    Optic disc fundus photography

    Although subjective, fundus imaging remains valuable for documenting glaucomatous changes, especially in borderline cases. Unlike OCT, it does not provide quantitative data but helps visualise morphology over time.

    What to assess:

    • Progressive disc cupping
    • Changes in neuroretinal rim shape or colour
    • Disc margin haemorrhages (linked to faster RNFL thinning and visual field loss)
    • Inter-eye comparisons

    Gonioscopy

    Gonioscopy evaluates the anterior chamber angle and helps exclude angle-closure, pigmentary, or pseudoexfoliative glaucoma. It also identifies:

    • Neovascularisation
    • Trabecular meshwork abnormalities
    • Other angle anomalies

    Patient education: a key to successful glaucoma management

    Accurate glaucoma detection and therapy are not enough; adherence to monitoring and treatment is equally critical.

    The challenge:

    • Early-stage glaucoma is asymptomatic.
    • Many patients underestimate its seriousness, leading to poor compliance, missed follow-ups, and discontinuation of therapy.

    The goals of patient education:

    • Explain that glaucoma progresses silently but can lead to irreversible blindness if untreated.
    • Use real-life examples (before/after OCT scans, visual field comparisons) to illustrate progression.
    • Teach patients to recognise warning signs (vision changes, eye pain).
    • Visualise disease progression with AI tools showing RNFL loss and future risk.

    Educational resources may include:

    • Printed brochures in patient-friendly language
    • Videos featuring OCT images with explanations
    • Doctor–patient in-clinic discussions
    • Telemedicine platforms with reminders and follow-up prompts

    According to the AAO, patients who understand glaucoma are 2.5 times more likely to adhere to treatment and attend check-ups.

    Glaucoma OCT: the foundation of long-term glaucoma care

    Glaucoma OCT now plays a central role in both diagnosis and monitoring. Its ability to detect subtle structural changes before measurable functional loss makes early intervention possible and increases the chances of preserving vision.

    But technology alone is not enough. Accurate interpretation, combined with strong patient education, is essential. When patients understand their disease and the role of glaucoma OCT in treatment, adherence improves and outcomes are better.

    OCT is not just a diagnostic device; it is the cornerstone of an integrated glaucoma management strategy, from initial screening to long-term monitoring and treatment optimisation.

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

  • Dry AMD Treatment: Modern Ways to Slow Progression

    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    5 min.

    Dry AMD Treatment: Modern Ways to Slow Progression

    Table of Contents

    1. What are the dry macular degeneration treatment breakthroughs?
    2. How to monitor dry AMD progression with OCT?
    3. What are the challenges of dry age-related macular degeneration monitoring?
    4. How do I organize efficient dry AMD monitoring in my clinic?
    5. Why are optometrists on the front line of early AMD detection?
    6. How can OCT insights help support patients emotionally?
    7. Conclusion

    For many years, dry or non-exudative AMD was seen as untreatable. Most research focused on wet AMD and anti-VEGF therapy.

    Today, this paradigm is shifting. Around 30% of patients with age-related macular degeneration are affected by the dry form, which makes finding effective therapies critical. Recently, the first FDA-approved drugs for dry macular degeneration injections have appeared, offering hope to patients with geographic atrophy (GA). Alongside, new physiotherapeutic methods, such as multi-wavelength photobiomodulation, are showing promising results.

    Geographic atrophy (GA) is an advanced, irreversible form of dry AMD. It occurs when parts of the retina undergo cell death, leading to progressive vision loss. But even the best dry AMD treatment is incomplete without objective measurement. That’s where modern tools for macular degeneration monitoring come in, and optical coherence tomography (OCT) is now at the core of this process.

     

    What are the dry macular degeneration treatment breakthroughs?

    The latest dry macular degeneration treatment breakthroughs include:

    • Multiwavelength photobiomodulation
    • FDA-approved injectable drugs
    • AREDS 2-based supplements

    In the past, recommendations focused only on reducing risks — quitting smoking, managing blood pressure, and eating a healthy diet.
    Now, new approaches to dry AMD treatment combine prevention with active therapies to slow AMD progression and especially the advance of GA.

    1. Dry AMD treatment using multiwavelength photobiomodulation

    Multiwavelength photobiomodulation for AMD is a promising new treatment. It uses specific red and near-infrared light wavelengths (~590–850 nm) and helps reduce oxidative stress, inflammation, and pigment epithelial cell death.

    One of the best-known systems is Valeda Light Therapy, which delivers controlled multiwavelength light directly to the retina.

    The LIGHTSITE III clinical trial showed that photobiomodulation can slow the decline in visual acuity and reduce the rate of GA expansion.

    Limitations:

    • Only 3–5 years of long-term data available
    • Requires costly equipment and training
    • Effectiveness in late-stage GA remains unclear

    Dry Macular Degeneration Treatment Breakthroughs: Multiwavelength photobiomodulation

    2. Dry AMD treatment using FDA-approved injectable drugs

    AMD injection drugs approved by the FDA include Izervay and Syfovre.

    • Izervay (avacincaptad pegol): A C5 complement protein inhibitor that targets the complement cascade involved in chronic retinal inflammation and damage. Izervay, approved for geographic atrophy secondary to dry AMD, has demonstrated a reduced rate of GA progression in clinical trials.
    • Syfovre (pegcetacoplan): A C3 complement inhibitor that blocks the central component of the complement system to reduce inflammation. Syfovre is the first FDA-approved treatment for GA that targets complement component C3, showing a clinically meaningful slowing of GA progression.

    Both dry macular degeneration injections have shown the ability to slow GA progression compared to placebo. Although they do not restore vision, slowing vision loss is a meaningful clinical outcome.

    Key considerations for injections:

    • Administered intravitreally, usually monthly or every other month
    • Require doctor training and patient education on risks (e.g., endophthalmitis, increased intraocular pressure)
    • Cost and access may limit use

    Dry macular degeneration injections

    3. Dry AMD treatment using AREDS 2-based supplements

    AREDS 2 supplements are antioxidant supplements containing lutein, zeaxanthin, vitamins C and E, zinc, and copper. They can reduce the risk of progression to late-stage AMD by around 25% over five years, according to the AREDS 2 study.

    Pros:

    • Widely available
    • Safe, with low side effect risk
    • Supported by strong clinical evidence

    Cons:

    • Do not directly treat GA
    • Cannot replace active therapies such as dry macular degeneration injections or photobiomodulation

    How to monitor dry AMD progression with OCT

    Effective macular degeneration monitoring relies on OCT. It is the gold standard for tracking retinal changes and predicting GA development.
    Without OCT, clinicians are essentially “flying blind” when assessing AMD progression.

    Key monitoring parameters of AMD progression

    The key monitoring parameters of AMD progression include GA area, drusen, and distance to fovea.

    1. GA area

    This is the main metric when using intravitreal eye injections. Modern OCT systems provide GA measurements in mm², allowing doctors to objectively track changes over time.

    Even if patients don’t notice symptoms, a growing GA area signals disease progression. In FDA trials for Syfovre and Izervay, the GA area was the primary endpoint.

    2. Drusen

    Drusen vary in number, size, and shape. A reduction or disappearance of drusen on OCT may seem like an improvement, but could actually indicate a transition to the atrophic stage. Regular monitoring helps detect this early.

    3. Distance to fovea

    The closer GA is to the fovea, the greater the risk of sudden vision loss.

    Early detection enables:

    • Referral to an ophthalmologist
    • Timely conversations about potential vision loss

    OCT outputs for AMD progression monitoring and communication

    Useful OCT outputs for AMD progression monitoring and communication are heat maps and progress charts.

    1. Heat maps

    Modern OCT systems use color-coded heat maps to show pigment epithelium thickness and drusen distribution. This visual format helps in several ways:

    • Makes interpretation easier for clinicians
    • Helps patients better understand their condition
    • Encourages patients to stay engaged with treatment

    In clinical practice, it serves as a highly effective communication tool.

     

    2. Progress charts

    Most OCT systems can compare results across visits

    • For doctors: Helps guide treatment decisions
    • For patients: Provides visual proof of stabilization or worsening

     

    The role of objective evidence in patient treatment

    Patients may question the value of long-term treatments or costly procedures.

    OCT is the gold standard for patient motivation. When patients see actual changes, they’re more likely to agree to treatment.

    What are the challenges of macular degeneration monitoring?

    Monitoring dry AMD presents technical, organizational, and psychological challenges. Doctors of all levels of experience should be aware of them.

    1. Invisible microchanges

    Early atrophy or drusen changes may be subtle. Patients may not notice them due to eccentric fixation or slow adaptation.

    Without OCT, doctors may miss early GA, delaying treatment.

    It is necessary to perform OCT even when there are only minor changes in visual acuity or if the patient reports image distortion (metamorphopsia).

    2. Subjective assessment

    Ophthalmoscopy reveals only obvious changes. Subtle drusen or early atrophy might be missed.

    Relying on patients’ complaints is risky — many don’t notice issues until it’s too late.

    That’s why even small optical practices should establish clear referral pathways for OCT exams.

    3. Unnecessary referrals

    Optometrists or primary care doctors often refer patients to ophthalmologists “just in case,” because they don’t have access to OCT or lack experience interpreting it.

    This puts unnecessary strain on specialists. In many cases, nothing new is done after the exam because there are no previous images for comparison.

    4. Limitations of OCT devices

    Not all OCT devices measure GA or track drusen equally well. Older models may lack automated measurements of atrophy area.

    In some cases, referral to a center with advanced OCT is necessary.

    OCT devices used to monitor AMD progression

    How do I organize efficient dry AMD monitoring in my clinic?

    Practical tips:

    1. Create a baseline chart with OCT images during the first visit.

    2. Monitor regularly:

    • Every 6–12 months in the early stages
    • Every 3–6 months with GA
    • Before each intravitreal injection

    3. Standardise scanning protocols to minimise variability.

    4. Use OCT software tools for image comparison, GA calculation, heat maps.

    5. Communicate clearly with patients about drusen, atrophy, and treatment goals.

    Why are optometrists on the front line of early AMD detection?

    Optometrists play a key role in spotting the early signs of AMD, as they are often the first point of contact in eye care.

    They perform initial screenings, provide guidance on lifestyle and supplements, and ensure regular OCT monitoring.

    If drusen, pigment epithelial changes, or signs of GA are present, they refer patients to ophthalmologists for confirmation and treatment planning.

    How can OCT insights help support patients emotionally?

    Patients with dry AMD often ask: “Why bother if it can’t be cured?”
    Here, OCT plays an emotional as well as clinical role. Showing OCT scans can:

    • Prove the value of slowing AMD progression
    • Emphasise patients’ role in preserving sight
    • Reassure them that long-term care makes a difference

     

    Dry macular degeneration treatment breakthroughs: key takeaways for slowing AMD progression

    Modern dry macular degeneration treatment breakthroughs, including FDA-approved injections, photobiomodulation, and AREDS 2 supplements,  have changed the outlook for patients.
    Yet treatment alone is not enough. Without consistent macular degeneration monitoring using OCT, the benefits of these therapies may be lost.

    The future of dry AMD treatment lies in a partnership between optometrists, ophthalmologists, and patients. Together, with breakthrough therapies and precise monitoring, we can slow AMD progression and give patients the best chance of preserving vision.

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

  • AItris for Buchanan Optometrists

    AI Ophthalmology and Optometry | Altris AI Mark Braddon
    3 min.

    Disclaimer: In the USA, Altris Image Management System (Altris IMS) has USA FDA 510(k) Class II clearance; AI/ML models and components are intended to use for research purposes only, not for clinical diagnosis purposes.

    Buchanan Optometrists and Audiologists is no ordinary eye-care center.

    The Association of Optometrists (AOP) estimates 17,500 registered optometrists working across roughly 6,000 practices in the UK. The UK Optician Awards recognise the best in the UK Optical industry.  To even make the top 5 is our equivalent of an Oscar nomination! They are the only practice in the UK to consistently make the top 5 since 2008. Buchanan Optometrists describe themselves as innovators who “continually push boundaries.”

    Their list of awards speaks for itself:

    • 2012 – National Optician Award for Premium Lens Practice of the Year
    • 2013 – Luxury Eyewear Retailer of the Year and Premium Lens Practice of the Year
    • 2013 – Winner at the UK Optician Awards
    • 2015–2016 – Best UK Independent Practice
    • 2017–2018 – Optometrist of the Year, with Alisdair Buchanan named the top optometrist in the UK
    • 2023–2024 – Best Independent Optician and Best Technology Practice

    And this list is not finished, as Alisdair Buchanan, the Owner and the Director of the center, is investing in their growth continuously.

    Buchanan Optometrists are being recognized for their achievements

    With a track record like this, it’s no surprise that Buchanan Optometrists was among the first to adopt AI for Decision Support in OCT. AI is rapidly becoming a vital part of modern eye care, and leading centers are already embracing it.

    Mark Braddon, Altris AI VP of Clinical Sales, sat down with Alisdair Buchanan, the owner and director of the practice, to talk about his experience with AI and what it means for the future of optometry.

    Mark Braddon: You’ve been working with OCT for years. What changed in your practice after bringing in Altris AI Decision Support for OCT?

    Alisdair Buchanan, Owner: As someone already confident in interpreting scans, I didn’t need help understanding OCT—but Altris provides something even more valuable: a kind of second opinion. It supports my clinical decisions and offers an added layer of reassurance, particularly in borderline or complex cases. That’s not just helpful—it’s powerful.

    I didn’t think our OCT assessments could improve much—until we started using Altris AI. It’s not just an upgrade; it’s become an indispensable part of delivering modern, high-quality eye care. Altris AI has significantly enhanced the way we interpret OCT scans. What used to require prolonged focus and cross-referencing now takes moments, without sacrificing accuracy or depth. The system analyses images with incredible precision, highlighting subtle pathological changes that are often time-consuming to detect, especially during a busy clinic day.

    Mark Braddon: What was the first real benefit you noticed after bringing  Altris AI into your day-to-day routine?

    Alisdair Buchanan, Owner: One of the most immediate benefits has been in patient communication. The platform generates clear, colour-coded visuals that make explaining findings effortless. Instead of trying to talk patients through grainy greyscale images, we can now show them precisely what we’re seeing. It’s improved understanding, reduced anxiety, and increased trust in the care we’re providing.

    Mark Braddon: Was it easy to fit AI Decision Support into your OCT workflow? How easy did you find integrating Altris AI?

    Alisdair Buchanan, Owner: Integration was seamless—no faff, no friction. It fits naturally into our existing workflow, with scans uploaded and analysed within seconds. It’s helped us work more efficiently, without compromising the thoroughness our patients expect.

    In short, Altris AI has sharpened our clinical edge and strengthened the service we offer. It doesn’t replace experience—it enhances it. And that, for me, is the real value.

    Mark Braddon: In your experience, where has AI been the most helpful in clinical work?

    Alisdair Buchanan, Owner: The main area where it shines is in picking up early macular changes, particularly dry AMD. Things like drusen or subtle changes in the outer retinal layers, which could easily be missed at a glance, are brought to the surface immediately.

    It’s also been handy with diabetic patients. Just having that extra layer of input to flag microstructural changes helps us stay ahead of progression.

    We’ve also started using it with glaucoma suspects. While our Heidelberg Spectralis remains our go-to for structural monitoring, having the RNFL analysis from Altris adds a checkpoint. I’d never base a referral purely on it, but it’s nice to have a second opinion—even if it’s an AI one.

    Mark Braddon: Has AI Decision Support changed how you handle borderline or difficult-to-call cases?

    Alisdair Buchanan, Owner: I’d say it’s given us more confidence, particularly in the grey areas—those borderline cases where you’re not quite sure if it’s time to refer or just monitor a bit more closely. With AMD, for example, it has helped us catch early signs of progression and refer patients before things become urgent.

    And for glaucoma, again, it’s not replacing anything we do—it’s just another tool we can lean on. Sometimes it confirms what we already thought, and other times it nudges us to look again more carefully.

    Mark Braddon: How has using AI impacted your conversations with patients during consultations?

    Alisdair Buchanan, Owner: One of the unexpected benefits has been how much it helps with patient conversations. We show the scans on-screen during the consultation, and the colour overlays make things much easier to explain, especially with older patients. They can see what we’re talking about, which makes the whole thing feel more real and less abstract.

    They often say, “Ah, now I understand,” or “So that’s what you’re looking at.” It’s not about dazzling them with tech—it just helps make the discussion more transparent and more reassuring.

    Mark Braddon: Some professionals worry that AI might replace human judgment. How do you see its role in clinical decision-making?

    Alisdair Buchanan, Owner: I don’t see Altris —or any AI—as a threat to what we do. It’s not here to replace us. We still make the decisions, take responsibility, and guide our patients. But it does help.

    For me, it’s like having a quiet assistant in the background. It doesn’t get everything right, and I certainly wouldn’t act on it blindly—but it prompts me to pause, double-check, and sometimes spot something I might have missed otherwise. That can only be a good thing.

    In short, Altris has sharpened our clinical edge and strengthened the service we offer. It doesn’t replace experience—it enhances it. And that, for me, is the real value.

  • AI for Decision Support with OCT: “Altris Gave Me More Certainty in My Clinical Decisions”

    AI for Decision Support for OCT
    AI Ophthalmology and Optometry | Altris AI Maria Martynova
    2 minutes

    Disclaimer: In the USA, Altris Image Management System (Altris IMS) has USA FDA 510(k) Class II clearance; AI/ML models and components are intended to use for research purposes only, not for clinical diagnosis purposes.

    AI for Decision Support with OCT: An Interview with Clara Pereira, Optometrist from Franco Oculista

    About Franco Oculista Optometry in Portugal.

    Franco Oculista is the optometry center with a 70-year-old history: its roots date back to the mid-1950s in Luanda, where it was founded by Gonçalo Viana Franco. Having left behind a career in pharmacy, Gonçalo pursued his entrepreneurial vision by opening an optician’s bearing his name in the heart of the Angolan capital. Driven by a thirst for knowledge and a deep sense of dedication, he turned his dream into reality. With a commitment to professionalism and a forward-thinking approach, he integrated the most innovative technologies available at the time. This blend of passion, expertise, and innovation established Franco Oculista as a benchmark for quality and excellence in the field. In 1970s, the family returned to Portugal and opened the new FRANCO OCULISTA space on Avenida da Liberdade.

    How do Franco Oculista describe their mission?

    “Through individualized and segmented service, we seek to respond to the needs of each client. We combine our knowledge with the most sophisticated technical equipment and choose quality and reliable brands. We prioritize the evolution of our services and, for this reason, we work daily to satisfy and retain our customers with the utmost professionalism.”

    Clara Pereira is one of the optometrists at Franco Oculista and has been an optometrist for nearly two decades. Based in a private clinic in Portugal, she brings years of experience and calm confidence to her consultations. We talked with her to learn how her clinical practice has evolved, particularly since integrating OCT and, more recently, Altris AI – AI for Decision Support with OCT.

    Altris AI: Clara, can you tell us a bit about your daily work?

    Clara: “Of course. I’ve been working as an optometrist for 19 years now. My practice is quite comprehensive—I assess refractive status, binocular vision, check the anterior segment with a slit lamp, measure intraocular pressure, and always examine the fundus.

    Clara: “In Portugal, we face limitations. We’re not allowed to prescribe medication or perform cycloplegia, so imaging becomes crucial. I rely heavily on fundus photography and OCT to guide referrals and detect early pathology.”

    Altris AI: How central is OCT diagnostics to your workflow?
    Clara: “OCT is substantial. I perform an OCT exam on nearly every patient, on average, eight OCT exams per day. It’s an essential part of how I gather information. With just one scan, I can learn so much about eye health.”

    Altris AI: What kind of conditions do you encounter most frequently?
    Clara: “The most common diagnosis is epiretinal membrane—fibrosis. But I also manage patients with macular degeneration and other retinal pathologies. Having the right tools is key.”

    Altris AI: And what OCT features do you use the most?
    Clara: “I regularly use the Retina, Glaucoma, and Macula maps. But if I had to choose one, the Retina Map gives me the most complete picture. It’s become my go-to.”

    Altris AI: You’ve recently started using Altris AI. What has that experience been like?
    Clara: “At first, I didn’t know much about it. But when Optometron introduced Altris AI to me—a company I trust—I didn’t hesitate. And I’m glad I didn’t. From the beginning, it felt like a natural extension of my clinical reasoning.

    Clara: “Altris AI gives me an extra layer of certainty. It helps me extract more from the OCT images. I usually interpret the scan myself first, and then I run it through the platform. That way, I validate my thinking while also learning something new.”

    Altris AI: Have any standout cases where Altris AI made a difference?

    Clara: “Yes. I’ve had a few. One was a case of advanced macular degeneration, in which the AI visualization really helped me explain the condition to the patient. Another was using anterior segment maps for fitting scleral lenses—Altris was incredibly useful there, too. I do a lot of specialty lens fittings, so that was a big advantage.”

    Altris AI: Would you recommend Altris AI to your colleagues?

    Clara: “I would recommend Altris AI to my colleagues. For me, it’s about more than just the diagnosis. It’s about feeling confident that I’m seeing everything clearly and giving my patients the best care possible. Altris AI helps me do exactly that.”

    Why This Matters: Altris AI in Real Practice

    Clara’s story reflects the real value of AI in optometry—not as a replacement for clinical judgment, but as a powerful companion. With every OCT scan, she strengthens her expertise, improves diagnostic accuracy, and gives her patients the reassurance they deserve.

    Whether identifying early signs of fibrosis, supporting complex scleral lens fittings, or acting as a second opinion, Altris AI seamlessly fits into the modern optometrist’s workflow, making every scan more meaningful.

    AI for Decision Support with OCT: Transforming Retinal Diagnostics

    Artificial Intelligence (AI) is revolutionizing the field of ophthalmology, particularly through its integration with Optical Coherence Tomography (OCT). OCT is a non-invasive imaging technique that captures high-resolution cross-sectional images of the retina, enabling early detection and monitoring of various ocular conditions. However, interpreting these scans requires time, expertise, and consistency—factors that AI-based decision support systems are uniquely positioned to enhance.

    Altris AI (AI for OCT decision support platform) analyzes thousands of data points across B-scans, automatically detecting retinal pathologies, quantifying biomarkers, and identifying patterns that may be subtle or overlooked by the human eye. By providing objective, standardized assessments, Altris AI reduces diagnostic variability and improves clinical accuracy, especially in busy or high-volume practices.

    For optometrists and ophthalmologists, AI acts as a second opinion, flagging early signs of diseases such as age-related macular degeneration (AMD), diabetic retinopathy, and glaucoma. It streamlines workflows by highlighting areas of concern, prioritizing cases that require urgent attention, and offering visual explanations that are easy to communicate to patients.

    Moreover, Altris AI enableS longitudinal tracking of pathology progression. By comparing OCT scans over time ( even from various OCT devices), clinicians can monitor subtle changes in drusen volume, retinal thickness, supporting timely clinical decisions and tailored treatment strategies. The integration of AI into OCT interpretation not only enhances diagnostic confidence but also supports evidence-based care, early intervention, and improved patient outcomes. As AI continues to evolve, it will play a vital role in advancing precision medicine in ophthalmology, empowering eye care professionals with tools that are fast, reliable, and scalable.

    In essence, AI for OCT decision support is not replacing clinical expertise; it is augmenting it, elevating the standard of care through speed, accuracy, and actionable insights.

  • Future of Ophthalmology: 2025 Top Trends

    future of ophthalmology
    AI Ophthalmology and Optometry | Altris AI Maria Znamenska
    13.03.2025
    12 min read

    Future of Ophthalmology: 2025 Top Trends

    In a recent survey conducted by our team, we asked eye care specialists to identify the most transformative trends in ophthalmology by 2025. The results highlighted several key areas, with artificial intelligence (AI) emerging as the clear frontrunner, cited by 78% of respondents.

    future of Ophthalmology

    However, the survey also underscored the significant impact of optogenetics, novel AMD/GA therapies, and the continuing evolution of anti-VEGF treatments. This article will explore the practical implications of these advancements, providing an overview of how they are poised to reshape diagnosis, treatment, research, and, ultimately, patient outcomes in ophthalmology.

    In this article, we will also discuss Oculomics, a very promising field that is gaining momentum.

    Top AI Technology for Detecting Eye-related Health Risks 2025

    Building upon the survey’s findings, we begin with the most prevalent trend: top AI technology for detecting eye-related health risks in 2025

    future of opthalmology

    AI in Clinical Eye Care Practice

    With the increasing prevalence of conditions like diabetic retinopathy and age-related macular degeneration, there is a growing need for efficient and accurate screening tools. And AI is already valuable for eye-care screening: algorithms can analyze retinal images and OCT scans to identify signs of these diseases, enabling early detection and timely intervention.

    future of ophthalmology

    Source

    AI-powered screening tools can also help identify rare inherited retinal dystrophies, such as Vitelliform dystrophy and Macular telangiectasia type 2. These conditions can be challenging to diagnose, but AI algorithms can analyze retinal images to detect subtle signs that human observers may miss.

    AI also starts to play a crucial role in glaucoma management. Early detection of glaucoma demands exceptional precision, as the early signs are often subtle and difficult to detect. Another significant challenge in glaucoma screening is the high rate of false positive referrals, which can lead to unnecessary appointments in secondary care and cause anxiety for patients, yet delayed or missed detection of glaucoma results in irreversible vision loss for millions of people worldwide. So, automated AI-powered glaucoma analysis can offer transformative potential to improve patient outcomes.

    This OD module evaluates optic disc parameters using OCT, providing personalized assessments by accounting for individual disc sizes and angle of rim absence. Such a tailored approach eliminates reliance on normative databases, making evaluations more accurate and patient-specific.

    Furthermore, it enables cross-evaluation across different OCT systems, allowing practitioners to analyze macula and optic disc pathology, even when data originates from multiple OCT devices. Key parameters evaluated by Altris AI’s Optic Disc Analysis include disc area, cup area, cup volume, minimal and maximum cup depth, cup/disc area ratio, rim absence angle, and disc damage likelihood scale (DDLS).

    future of ophthalmology

     

    AI for Clinical Trials and Research

    AI is revolutionizing clinical trials and research in ophthalmology. One such key application of AI is biomarker discovery and analysis. Algorithms can analyze large datasets of medical images, such as OCT scans, to identify and quantify biomarkers for various eye diseases. These biomarkers can be used to assess disease progression, monitor treatment response, and predict clinical outcomes.

    AI is also being used to improve the efficiency and effectiveness of clinical trials. By automating the process of identifying eligible patients for clinical trials, AI can help researchers recruit participants more quickly and ensure that trials include appropriate patient populations, accelerating the development of new treatments.

    future of ophthalmology

    Algorithms can analyze real-world data (RWD) collected from electronic health records and other sources to generate real-world evidence (RWE). RWE provides valuable insights into disease progression, treatment patterns, and long-term outcomes in everyday clinical settings, complementing the findings of traditional randomized controlled trials.

    Oculomics

    Integrating digitized big data and computational power in multimodal imaging techniques has presented a unique opportunity to characterize macroscopic and microscopic ophthalmic features associated with health and disease, a field known as oculomics. To date, early detection of dementia and prognostic evaluation of cerebrovascular disease based on oculomics has been realized. Exploiting ophthalmic imaging in this way provides insights beyond traditional ocular observations.

    future of ophthalmology

    For example, the NeurEYE research program, led by the University of Edinburgh, is using AI to analyze millions of anonymized eye scans to identify biomarkers for Alzheimer’s disease and other neurodegenerative conditions. This research can potentially revolutionize early detection and intervention for these devastating diseases.

    Another effort spearheaded by researchers from Penn Medicine, Penn Engineering is exploring the use of AI to analyze retinal images for biomarkers indicative of cardiovascular risk. AI systems are being trained on fundus photography to detect crucial indicators, such as elevated HbA1c levels, a hallmark of high blood sugar, and a significant risk factor for both diabetes and cardiovascular diseases.

    future of ophthalmology

    Source

    AI analysis of retinal characteristics, such as retinal thinning, vascularity reduction, corneal nerve fiber damage, and eye movement, has shown promise in predicting Neurodegenerative diseases. Specifically, decreases in retinal vascular fractal dimension and vascular density have been identified as potential biomarkers for early cognitive impairment, while reductions in the retinal arteriole-to-venular ratio correlate with later stages.

    Moving from AI, we now turn to another significant trend identified in our survey:

    Optogenetics

    Optogenetics represents a significant leap forward in ophthalmic therapeutics, offering a potential solution for vision restoration in patients with advanced retinal degenerative diseases, where traditional gene therapy often falls short. While gene replacement therapies are constrained by the need for viable target cells and the complexity of multi-gene disorders like retinitis pigmentosa (RP), optogenetics offers a broader approach.

    future of ophthalmology

    This technique aims to circumvent the loss of photoreceptors by introducing light-sensitive proteins, known as opsins, into the surviving inner retinal cells and optic nerve, restoring visual function through light modulation. This method is particularly advantageous as it is agnostic to the specific genetic cause of retinal degeneration.

    By delivering opsin genes to retinal neurons, the technology enables the precise manipulation of cellular activity, essentially transforming these cells into new light-sensing units. This approach can bypass the damaged photoreceptor layer, transmitting visual signals directly to the brain.

    Several companies are pioneering advancements in this field. RhyGaze, for example, has secured substantial funding to accelerate the development of its lead clinical candidate, a novel gene therapy designed for optogenetic vision restoration. Their efforts encompass preclinical testing, including pharmacology and toxicology studies, an observational study to define clinical endpoints, and a first-in-human trial to assess safety and efficacy. The success of RhyGaze’s research could pave the way for widespread clinical applications, significantly impacting the treatment of blindness globally.

    future of ophthalmology

    Source

    Nanoscope Therapeutics is also making significant strides with its MCO-010 therapy. This investigational treatment, administered through a single intravitreal injection, delivers the Multi-Characteristic Opsin (MCO) gene, enabling remaining retinal cells to function as new light-sensing cells. Unlike earlier optogenetic therapies that required bulky external devices, MCO-010 eliminates the need for high-tech goggles, simplifying the treatment process and enhancing patient convenience. The ability to restore light sensitivity without external devices represents a major advancement, potentially broadening the applicability of optogenetics to a wider patient population.

    future of ophthalmology

    Source

    Another critical area of innovation highlighted in our survey is the advancement of treatments for AMD and GA.

    New AMD/GA Treatment

    Age-related macular degeneration (AMD) and geographic atrophy (GA) represent a significant challenge in ophthalmology, demanding innovative therapeutic strategies beyond the established anti-VEGF paradigm.

    future of ophthalmology

    Source

    Gene Correction

    Gene editing is emerging as a powerful tool in the fight against AMD and GA, potentially correcting the underlying genetic errors that contribute to these diseases. Essentially, it allows us to make precise changes to a patient’s DNA.

    Traditional gene editing techniques often rely on creating ‘double-strand breaks’ (DSBs) in the DNA at specific target sites, which are like precise cuts in the DNA strand. These cuts are made using specialized enzymes, like CRISPR-Cas9, which act as molecular scissors. While effective, these methods can sometimes introduce unwanted changes at the cut site, such as small insertions or deletions.

    After a DSB is made, the cell’s natural repair mechanisms kick in. There are two main pathways:

    • Non-Homologous End Joining (NHEJ): This is the cell’s quick-fix method. It essentially glues the broken ends back together. However, this process can sometimes introduce errors, leading to small insertions or deletions that can disrupt the gene’s function.
    • Homology-Directed Repair (HDR): This is a more precise repair method. It uses a ‘donor’ DNA template to guide the repair process, ensuring accuracy. However, HDR is more complex and less efficient, especially in non-dividing cells.

    To overcome these limitations of traditional gene editing, researchers have developed more precise techniques:

    • Base Editing: This technique allows scientists to change a single ‘letter’ in the DNA code without creating DSBs.
    • Prime Editing: This advanced technique builds upon CRISPR-Cas9, allowing for a wider range of precise DNA changes. It can correct most disease-causing mutations with enhanced safety and accuracy.
    • CASTs (CRISPR-associated transposases): This method enables larger DNA modifications without creating DSBs, offering a safer approach to genetic correction.

    Why does this matter for AMD and GA? These advancements in gene editing are crucial for addressing the genetic roots of these pathologies. We can potentially develop more effective and targeted therapies by precisely correcting the faulty genes that contribute to these diseases. The technologies are still being researched, but they hold great promise for the future of ophthalmology.

    Cell Reprogramming

    Cell reprogramming offers a novel approach to regenerative medicine, with the potential to replace damaged retinal cells. This technique involves changing a cell’s fate, either in vitro or in vivo. In vitro reprogramming involves extracting cells, reprogramming them in a laboratory, and then transplanting them back into the patient. In vivo reprogramming, which directly reprograms cells within the body, holds particular promise for retinal diseases. This approach has succeeded in preclinical studies, demonstrating the potential to restore vision in conditions like congenital blindness.

    future of ophthalmology

    Vectors and Delivery Methods

    The success of gene therapy relies on efficiently delivering therapeutic genes to target retinal cells. Vectors are essentially delivery vehicles, designed to carry therapeutic genes into cells. These vectors can be broadly classified into two categories: viral and non-viral. Vectors, both viral and non-viral, are crucial for this process.

    Viral vectors are modified viruses that have been engineered to remove their harmful components and replace them with therapeutic genes. They are highly efficient at delivering genes into cells, as they have evolved to do just that. Adeno-associated viruses (AAVs) are the most commonly used viral vectors in ocular gene therapy due to their safety profile and cell-specificity. The diversity of AAV serotypes allows for tailored gene delivery to specific retinal cell types.

    Non-viral vectors, on the other hand, are synthetic systems that don’t rely on viruses. They can be made from lipids, polymers, or even DNA itself. While they may be less efficient than viral vectors, they offer safety and ease of production advantages.

    Advances in vector design, whether viral or non-viral, are focused on enhancing gene expression, cell-specificity, and carrying capacity.

    Now, let’s examine the ongoing evolution of anti-VEGF treatments, a cornerstone of modern retinal care.

    New Anti-VEGF drugs

    The landscape of ophthalmology has undergone a dramatic transformation since the early 1970s when Judah Folkman first proposed the concept of tumor angiogenesis. His idea sparked research that ultimately led to the identification of vascular endothelial growth factor (VEGF) in 1989 and the development of anti-VEGF therapies, revolutionizing the treatment of neovascular eye diseases, dramatically improving outcomes for patients with wet AMD, diabetic retinopathy, and retinal vein occlusions.

    Population-based studies have shown a substantial reduction (up to 47%) in blindness due to wet AMD since the introduction of anti-VEGF therapies. However, significant gaps remain despite this progress, especially regarding treatment durability. Anti-VEGF drugs require frequent intravitreal injections, which can be difficult for patients due to time commitments, financial costs, and potential discomfort. Although newer agents have extended treatment intervals, patient adherence and undertreatment challenges persist in real-world settings. Innovative approaches are being investigated to address these unmet needs to increase drug durability and reduce the treatment burden.

    Tyrosine Kinase Inhibitors

    One approach to increasing treatment durability is using tyrosine kinase inhibitors (TKIs). TKIs are small-molecule drugs that act as pan-VEGF blockers by binding directly to VEGF receptor sites inside cells, offering a different action mechanism than traditional anti-VEGF drugs that target circulating VEGF proteins.

    Currently, TKIs are being investigated as maintenance therapy, primarily in conjunction with sustained-release delivery systems. Two promising TKIs for retinal diseases are axitinib and vorolanib. In a bioresorbable hydrogel implant, Axitinib is being studied for neovascular AMD and diabetic retinopathy. Vorolanib, in a sustained-release delivery system, is also being investigated for neovascular AMD. These TKIs offer the potential for less frequent dosing, reducing the treatment burden for patients.

    Port Delivery System

    The Port Delivery System (PDS) is a surgically implanted, refillable device that provides continuous ranibizumab delivery for up to 6 months. While it’s FDA-approved for neovascular AMD, it’s also being investigated for other retinal diseases, such as diabetic macular edema and diabetic retinopathy.

    future of ophthalmologySource

    Although the PDS faced a voluntary recall due to issues with septum dislodgment, it has returned to the market with modifications. The PDS offers the potential for significantly reduced treatment frequency for a subset of patients. However, challenges remain, including the need for meticulous surgical implantation and the risk of endophthalmitis.

    Nanotechnology

    Nanotechnology offers promising solutions to overcome limitations of current ocular drug delivery. The unique structure of the eye, with its various barriers, poses challenges for drug delivery. Topical administration often fails to achieve therapeutic concentrations, while frequent intravitreal injections carry risks. Nanotechnology can improve drug solubility, permeation, and bioavailability through nanoparticles, potentially extending drug residence time and reducing the need for frequent injections. Several nanoparticle systems, lipid and polymeric, are being studied for ocular drug delivery, offering hope for more effective and less invasive treatments.

    Summing up

    The advancements discussed in this article, encompassing AI, optogenetics, novel AMD/GA therapies, and refined anti-VEGF treatments, collectively signal a transformative era for ophthalmology. As highlighted by the survey results, AI probably encompasses most of the changes by redefining diagnostic and clinical workflows through its capacity for image analysis, biomarker identification, and personalized patient management.

    Optogenetics offers a distinct pathway to vision restoration, bypassing limitations of traditional gene therapy. The progress in AMD/GA treatments, particularly gene editing and cell reprogramming, presents opportunities for targeted interventions. Finally, the evolution of anti-VEGF therapies, with innovations in drug delivery and sustained-release mechanisms, addresses persistent challenges in managing neovascular diseases.

    These developments, driven by technological innovation and clinical research, promise to enhance patient outcomes and reshape the future of ophthalmic care.

     

     

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

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  • technologies in optometry

    Technologies in Optometry: Clare and Illingwort & Altris

    AI Ophthalmology and Optometry | Altris AI Altris Inc.
    3 min.
    3 min.

    The Client: Clare and Illingworth, renowned leaders in the field of optometry located in the UK.

    The problem: The need to speed up the process of OCT interpretation and unburden the optometry team.

    The Solution: Clare and Illingworth have embraced cutting-edge technology to enhance their Optical Coherence Tomography (OCT) analysis workflow. The introduction of Altris AI at this optometry center marks a significant milestone in their commitment to providing high-quality services to patients.

    According to one of the owners of the optometry center, Richard, “We are adding a new OCT to one of our practices and will benefit from some extra support with AI to speed up the interpretation of results and assist the busy Optometry team.”

    Altris AI, a leading provider of artificial intelligence solutions for healthcare, specializes in developing algorithms and software applications that augment medical imaging analysis. The integration of Altris AI into the British Optometry Center’s OCT workflow brings forth a host of advantages, revolutionizing the way eye conditions are diagnosed and managed.

    Technologies in Optometry and Ophthalmology: How AI Helps

    One of the key benefits of Altris AI is its ability to automate and expedite the analysis of OCT scans. Traditionally, optometrists spent considerable time manually reviewing and interpreting OCT images.

    FDA-cleared Altris AI is created to make the OCT workflow more effective

    How does it work? Altris AI serves as a copilot, analyzing OCT scans in parallel to the eye care specialist. For instance, on this OCT scan, Altris AI detects Diffuse Edema, Floaters, Intraretinal Hyperreflective Foci, Posterior Hyaloid Membrane Detachment, RPE disruption, Shadowing, Hard Exudates, Intraretinal Cystoid Fluid. 

    • The classification in this case would be Diabetic Retinopathy. 

    AI blindness prevention

    With Altris AI, the process becomes significantly faster and more efficient. The AI algorithms can quickly analyze intricate details within the scans, providing clinicians with accurate and timely insights into the patient’s eye health.

    Moreover, the use of Altris AI contributes to increased diagnostic accuracy. The algorithms are trained on vast datasets, learning to recognize subtle patterns and anomalies that may escape the human eye.

    Thus, Altris AI recognizes 70+ retina pathologies and biomarkers, including DME, DR, GA, AMD, etc. 

    Technologies in Optometry are paving the way to a new future where eye care specialists and AI will work together for better patient outcomes.  AI will never be able to substitute eye care specialists because the final diagnosis must include clinical history, results of lab tests, and other diagnostic methods.

     

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

  • OCT layers of retina analyzed by AI for OCT, cover

    OCT Layers of Retina

    AI Ophthalmology and Optometry | Altris AI Maria Martynova
    5 min.
    5 min.

    OCT Layers of Retina: modern approach to segmentation

    The knowledge about macular retinal layer thicknesses and volume is an important diagnostic tool for any eye care professional today.  The information about the macular retinal layers often correlates with the evaluation of severity in many pathologies. 

    Manual segmentation is extremely time-consuming and prone to numerous errors, which is why OCT equipment manufacturers use automatic macular retinal layer thickness segmentation.

    Yet, retina layer segmentation in different OCT equipment manufacturers as well as in different OCT models varies significantly. It is sometimes difficult even for an experienced ECP to find the correlations and track the pathology dynamics. The normative bases refer only to the thickness of the entire retina, they are not related to segmentation. However, if the segmentation is performed incorrectly by the machine, it will lead to an incorrect calculation of the thickness of the retina or its layers, and then the assessment will be incorrect.

    At Altris AI we aim to visualize retina layers for a more accurate understanding of pathological process localization.  Such retina layers segmentation allows for defining the localization of the pathological process and tracing in dynamics the spread of the pathological process or the aftermath in the retina structure after its completion.

    For instance, the EZ layer is important for vision loss forecasting.

    OCT Manufacturers  & Retina Layers Analysis

    From 2010 most eye care specialists have used the same OCT International Nomenclature for Optical Coherence Tomography. OCT equipment manufacturers rely on this nomenclature for retina layer thickness calculation and most ophthalmologists use it as well. Here is a variant of OCT layer segmentation:

    Taking into account retina structure, some layers can be united into complexes. For instance, the ganglion complex includes RNFL, ganglion cell layer & OPL. 

    Let’s take a look at various OCT equipment manufacturers and the way they perform retina layer segmentation analysis. 

    For instance, here is how Topcon Advanced Boundary Segmentation (TABSTM) automated segmentation differentiates between nine intraretinal boundaries:

    • ILM
    • NFL/GCL,
    • GCL/IPL, 
    • IPL/INL, 
    • INL/OPL, 
    • ELM
    • EZ
    • OS/RPE
    • BM

    Zeiss CIRRUS uses two approaches to retina layer segmentation.  

    The existing segmentation algorithm (ESA) in CIRRUS estimates the positions of the inner plexiform layer (IPL) and outer plexiform layer (OPL) based on the internal limiting membrane (ILM) and retinal pigment epithelium (RPE). To improve the accuracy of the segmentation of these layers, a multi-layer segmentation algorithm (MLS) was introduced, it truly segments layers instead of estimating their position. 

    Heidelberg Engineering offers to learn about the following inner and outer retina layers on their website. There are 10 retina layers according to Heidelberg, and they are the following:

    • ILM
    • RNFL
    • GCL
    • IPL
    • INL
    • OPL
    • ONL
    • ELM
    • PR
    • RPE
    • BM
    • CC
    • CS

    Retina Layers on OCT with Altris AI: More Clinical Insights

    Altris AI segments 12 retina layers and measures their thickness with maximum precision. Here are the OCT retina layers we work with:

    • RNFL – Retinal Nerve Fiber Layer
      Contains ganglion cell axons; thinning is a key marker for glaucoma.
      Measuring its thickness helps detect and monitor glaucomatous damage.

    • GCL – Ganglion Cell Layer
      Composed of ganglion cell bodies; damage here indicates neurodegeneration.
      Thickness assessment aids in the early diagnosis of glaucoma and optic neuropathies.

    • IPL – Inner Plexiform Layer
      The site of synapses between bipolar and ganglion cells is vital for signal relay.
      Changes in thickness can reflect inner retinal dysfunction, especially in diabetic retinopathy.

    • INL – Inner Nuclear Layer
      Houses bipolar, amacrine, and horizontal cell bodies are essential for visual processing.
      Swelling or thinning may indicate retinal vascular disease or macular edema.

    • OPL – Outer Plexiform Layer
      Where photoreceptors connect to bipolar cells; disruptions may signal early maculopathy.
      Thickness alterations can be associated with retinal ischemia or structural disorganization.

    • ONL – Outer Nuclear Layer
      Contains the nuclei of photoreceptors; thinning may indicate photoreceptor loss.
      Tracking its thickness supports evaluation of photoreceptor integrity in degenerative diseases.

    • ELM – External Limiting Membrane
      A structural boundary supporting photoreceptor alignment and health.
      Integrity and thickness are indicators of photoreceptor viability in macular disorders.

    • MZ – Myoid Zone of Photoreceptors
      Contains organelles like the endoplasmic reticulum; changes may reflect early photoreceptor stress.
      Subtle thickness variations may serve as early markers of photoreceptor damage.

    • EZ – Ellipsoid Zone of Photoreceptors
      A mitochondrial-rich layer critical for photoreceptor energy supply; disruption suggests dysfunction.
      Its thickness and continuity are key indicators of visual potential and retinal health.

    • OS – Outer Segment
      Responsible for light detection; damage here impairs visual transduction.
      Measuring OS thickness is essential for assessing photoreceptor function and recovery.

    • RPE – Retinal Pigment Epithelium
      Supports photoreceptors and waste removal; essential in maintaining retinal health.
      Changes in RPE thickness can indicate AMD, central serous chorioretinopathy, and other retinal diseases.

    • BM – Bruch’s Membrane
      A barrier beneath the RPE; thickening or breaks are early signs of AMD.
      Assessing thickness helps detect early signs of age-related macular degeneration and choroidal changes.

    Why is accurate retina layer segmentation important?

    Retina layers segmentation helps eye care professionals to understand which pathology to consider in the first turn. For instance, changes in RPE and PR signify the development of Macular Degeneration. 

    Often such changes can also inform eye care specialists about the development of pathologies that lead to blindness, such as glaucoma, AMD, and Diabetic Retinopathy. 

     

    • Early Glaucoma Detection

    Historically, evaluation of early glaucomatous change has focused mostly on optic disk changes.  Modalities such as optical coherence tomography (OCT), confocal scanning laser ophthalmoscopy (HRT) or scanning laser polarimetry (GDx) with specially developed software algorithms have been used to quantitatively assess such changes. However, glaucomatous damage is primarily focused on retinal ganglion cells, which are particularly abundant in the peri-macular region (the only retinal area with a ganglion cell layer more than 1 layer thick), constituting, together with the nerve fiber layer, up to 35% of retinal macular thickness.

     Therefore, glaucomatous changes causing ganglion cell death could potentially result in a reduction of retinal macular thickness. Indeed, by employing specially developed algorithms to analyze OCT scans, previous studies have reported that glaucoma, even during the early stage, results in the thinning of inner retinal layers at the macular region.

    According to this study, the RNFL, GCL, and IPL levels out of all the retinal layers, the inner-most layers of the retina: the retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), and inner plexiform layer (IPL) show the best discriminative power for glaucoma detection. Among these, the RNFL around the circumpapillary region has shown great potential for discrimination. The automatic detection and segmentation of these layers can be approached with different classical digital image processing techniques.

    • Detection of AMD

    This first population-based study on spectral-domain optical coherence tomography-derived retinal layer thicknesses in a total of ∼1,000 individuals provides insights into the reliability of auto-segmentation and layer-specific reference values for an older population. 

    The findings showed a difference in thicknesses between early AMD and no AMD for some retinal layers, suggesting these as potential imaging biomarkers. When comparing layer thicknesses between early AMD and no AMD (822 eyes, 449 participants), the retinal pigment epithelium/Bruch’s membrane complex demonstrated a statistically significant thickening, and photoreceptor layers showed a significant thinning.

    • Detection of DR

    The depth and spatially resolved retinal thickness and reflectance measurements are potential biomarkers for the assessment and monitoring of Diabetic Retinopathy, one of the key reasons for blindness around the globe.

    For instance, this study confirmed that decreased RNFL thickness and increased INL/OPL thickness in diabetics without DR or with initial DR suggest early alterations in the inner retina. On the contrary, the outer retina seems not to be affected at the early stages of DM. Automatic intraretinal layering by SD-OCT may be a useful tool to diagnose and monitor early intraretinal changes in DR.

    Conclusion:

    OCT layer segmentation is crucial for the accurate detection of pathologies in the eye, especially in the field of ophthalmology and medical imaging. Here are several reasons why it is important:

    Precise Diagnosis: Retina layer segmentation provides a detailed map of the different retinal layers, which helps in the precise diagnosis of various eye conditions. It allows clinicians to identify the exact location of abnormalities, such as cysts, hemorrhages, or lesions, within the retina.

    Quantitative Analysis: It enables quantitative analysis of retinal structures. By measuring the thickness, volume, and other characteristics of specific layers, clinicians can assess the severity and progression of diseases like diabetic retinopathy, macular degeneration, and glaucoma.

    Early Detection: Some retinal pathologies manifest in specific layers of the retina before becoming visible on a fundus photograph. Retina layer segmentation can help detect these changes at an early stage, potentially leading to earlier intervention and improved outcomes.

    Treatment Planning: Knowing the precise location of pathologies within the retina’s layers can aid in the planning of treatment strategies. For example, in cases of macular holes or retinal detachment, surgeons can use this information to guide their procedures.

    Monitoring Disease Progression: Retina layer segmentation is valuable for monitoring how retinal diseases progress over time. Changes in the thickness or integrity of specific layers can be tracked to assess the effectiveness of treatments or the worsening of conditions.

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

  • Business case: AI as a second opinion for OCT scans

    Altris AI for Buckingham and Hickson Optometry, the UK

    AI Ophthalmology and Optometry | Altris AI Altris Inc.
    1 min.

    Business case: Altris AI for Buckingham and Hickson Optometrists

    The Client: Buckingham and Hickson is a family-run optometry practice that was established in 1960 in the United Kingdom. The optometry practice offers a number of services:

    • Wide range of spectacle frames and lenses.
    • Contact lenses.
    • Glaucoma referral refinement.
    • Cataract choice referral.
    • OCT examination.
    • NHS and private eye tests.

    The challenge: The optometry owners wanted to test how Artificial Intelligence can assist them in OCT examination or, to be more precise, in providing a second opinion for OCT scans.

    OCT examination is one of the best retina diagnostics methods, however in many cases OCT scan interpretation can be really challenging for several reasons:

    1. Variability in Anatomy: There is significant natural anatomical variation among individuals. What may be considered normal for one person may be abnormal for another. Eye care specialists need to account for these variations when interpreting OCT scans, but this often requires years of experience.
    2. Various Eye Conditions: Eye care specialists use OCT scans to diagnose and monitor a wide range of eye conditions, including macular degeneration, diabetic retinopathy, and retinal detachment, among others. Each of these conditions can manifest in different ways on OCT scans, making interpretation challenging.
    3. Progression Monitoring: Ophthalmologists often use OCT to monitor disease progression and the effectiveness of treatment. Tracking subtle changes over time can be difficult, as it requires precise comparisons of multiple scans.
    4. Artifacts: OCT scans are susceptible to artifacts, such as shadowing, motion artifacts, and signal dropout, which can obscure or distort the image. Recognizing and mitigating these artifacts is essential for accurate interpretation.
    5. Experience and Training: Accurate interpretation of OCT scans in optometry and ophthalmology requires specialized training and experience.
    6. Evolving Technology: OCT technology continues to advance, introducing new techniques and capabilities. Staying current with these advancements and understanding their clinical implications is an ongoing challenge for ophthalmologists.

    The solution: Artificial intelligence (AI) can play a significant role in OCT (Optical Coherence Tomography) scan interpretation for ophthalmologists and optometrists in various ways. Artificial Intelligence (AI) provides eye care specialists with more accurate results, severity level detection ( to work only with pathological scans), and assists in early pathologies detection.
    According Ian, one of the owners of Buckingham and Hickson optometry, “they are using Altris AI to get a second opinion on OCT scans.”
    According to Altris AI Medical Director, Maria Znamenska, who is MD, Ph.D., Associate Professor of Ophthalmology, “It is getting more common to double-check the interpretation of OCT scans ( and other medical images) with modern AI tools as they are getting safer and more efficient. Altris AI has received FDA clearance recently apart from having a CE certificate.”

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

  • AI for OCT analysis in optometry chains: 8 Reasons to invest

    AI Ophthalmology and Optometry | Altris AI Mark Braddon
    5 min.

    AI for OCT analysis in optometry chains

    Optometry chains offer a wide range of eye care services, making it convenient for patients to access eye care locally. 

    However, the widespread accessibility of optometry chains has a reverse side for them. The shortage of employees, new unfamiliar equipment for diagnostics, and a large number of patients create an extremely challenging workflow for many optometrists. This, in turn, creates a number of challenges that can be more familiar to Optometry chains: low optometrist recruitment and retention, inconsistent quality of examination throughout the practices, lack of communication with patients, etc. 

    Automation of routine processes and digitalization have always served as answers to challenges like these in any industry, and healthcare is no exception. Luckily, automation of one of the most complex tasks for optometrists – OCT examination is already available to optometry chains with Artificial Intelligence (AI).   

    OCT proves to be one of the most efficient diagnostic tools for many modern top-notch optometry practices, however, mastering it requires skills and time. Artificial intelligence tools, such as AI for OCT analysis platform, can automate many routine processes which will have enormous benefits for any optometry chain. The top 8 benefits are the following: 

    • #1 AI for OCT increases clinical efficiencies

    Automating OCT scan analysis through AI reduces the time optometrists spend on image interpretation. This allows optometrists to focus on more complex cases, patient interactions, and personalized treatment plans. For any large optometry chain, saving time means providing more patients with high-quality service. 

    How does it work in practice?

    For instance, Altris AI has a severity grading of b-scans. Severity grading means that it is easy to see if the eye is healthy ​(removing any need to spend time interpreting) or highlight ​where the pathology is and the degree of severity. ​

    • Green- no pathology detected
    • Yellow- mild to medium level of severity
    • Red – severe pathology detected

    • #2 AI for OCT provides consistently high standard of quality throughout the chain

    AI algorithms provide consistent and standardized analysis regardless of the individual interpreting OCT scans. This reduces variability in diagnoses and ensures that patients receive uniform care across different clinics and practitioners within the optometry chain.

    AI algorithms can analyze OCT scans with incredible precision and consistency. They can detect subtle changes in retinal structures that might be missed by human observers, leading to earlier and more accurate diagnoses of various eye conditions such as macular degeneration, glaucoma, diabetic retinopathy, and more.

    This will help younger less experienced optometrists and will serve as a second opinion tool for more experienced specialists. 

    • #3  AI for OCT enables better retention of employees

    The shortage of optometrists in the world is staggering. 14 million optometry specialists are needed worldwide according to the WHO, while today there are only 331K ready to work.

     It is equally difficult to hire and retain a good optometrist for a company in 2023. However, more and more young optometrists choose innovative businesses that use technology to improve the workflow. Top-notch equipment, convenient scheduling tools, and of course, Artificial Intelligence for OCT & fundus photo analysis might be the perks that will help optometrists to choose your optometry business. 

    Fresh from college optometrists feel more confident when they know that they will have a backup when reviewing OCT scans

    • #4 Reduced Workload Burden

    Optometrists often have heavy workloads, and AI can help alleviate some of this burden by handling routine tasks like initial image analysis. This enables optometrists to spend more time on patient consultations and treatment planning.

    According to a survey by the General Optical Council, 57% of optometrists worked beyond their hours in 2022. Optometrists were more likely to be working beyond their hours (60%) or finding it difficult to provide patients with the sufficient level of care they needed (34%) when compared to other registration types.

    It is possible to outsource preliminary image analysis to Artificial Intelligence tools but communication and empathy are human tasks only. 

    • # 5 AI promotes enhanced patient education

    Let’s not forget about the patients. AI-generated OCT reports can help explain complex medical conditions to patients in a more understandable, visual way. After all 80% of all the information we receive is visual: imagine your optometrists not only telling but also showing what is going on with patients.  

    Comprehensive, color-coded OCT reports may improve patient education and engagement, leading to better treatment adherence and loyalty. 

    When patients don’t understand what they are paying for they are not likely to return for annual checkups. At Altris AI we created smart OCT reports that are comprehensible for patients as well as optometrists. We visualize all the pathologies and the patients can trace the dynamics of 

    #6 Reducing a clinical risk. No chances of getting a legal inquiry because of a pathology missed

    Optometry chains can perform around 40K OCT scans a week. Statistically speaking, the chance of missing a minor early pathology is huge simply because of the big number.

    With the double-check that AI for OCT scan analysis provides, It is not possible to wipe the risk out for 100%, but it is possible to diminish the risk to the absolute minimum. 

    For the optometry chain, it might mean no bad PR and weird stories in the papers and subsequently, a better brand image.

    • #7 AI makes early detection of pathologies possible on OCT

    AI algorithms can identify early signs of eye diseases that might not be easily recognizable in their early stage. This early detection can lead to timely interventions, preventing or minimizing patient vision loss.

    Glaucoma, Wet AMD, Diabetic Retinopathy, and genetic diseases are among the pathologies that lead to blindness if not detected in time. Detecting pathological signs and pathologies related to these disorders in time can literally save patients from future blindness.

    Early detection of pathologies means that it is possible to stop or reduce the risk of total blindness which is the best result in any sense. Early detection will allow optometrists to give valid recommendations, and advise on dieting and supplements right at the optical store. 

    • #8 Competitive Edge

    AI is a buzzword, and it’s not accidental. All major players understand its enormous value and invest in it. During the last presentation, the CEO of Google said “AI” 140 times, and let’s be honest, it is not to show off. It is because AI can actually make changes in business: automation of repetitive processes, workflow optimization, and human error reduction. 

    Adopting AI technology for OCT analysis showcases the optometry chain’s commitment to staying at the forefront of technological advancements in healthcare. Gaining a real competitive edge is another big goal. 

    This can attract patients who value cutting-edge approaches to diagnosis and treatment. A younger generation of patients are curious about new technologies, and this can be an additional lead magnet for them.

    Conclusion

    Incorporating AI for OCT analysis into optometry chains can enhance patient outcomes, make the workflow more efficient, and improve the performance of each optometry center. However, it’s important to ensure that the AI systems are properly validated, integrated into clinical workflows, and monitored to maintain their accuracy and effectiveness. More than that, it should complement, not replace, the expertise of optometrists. The technology should be used as a tool to aid optometrists and make OCT examination more effective.

     

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

  • Normative database OCT

    Normative Database in OCT: Limitations and AI Solutions

    AI Ophthalmology and Optometry | Altris AI Maria Martynova
    06.09.2023
    6 min read

    Normative Database in OCT: Limitations and AI Solutions

    The first normative database for OCT was created in the early 2000s and were based on small studies of mostly white patients. However, as OCT technology has evolved, so too have the normative databases. Recent databases are larger and more diverse, reflecting the increasing ethnic and racial diversity of the population.

    Nowadays, eye care specialists use normative database to compare the characteristics of a patient to a population-wide norm. This allows them to quickly and easily assess whether a patient’s retinal dimensions fall within normal limits. According to our survey, 79% of eye care specialists rely on the normative databases for OCT verdict with every patient.

    Normative database OCT

    However, despite the fact that normative databases are very widespread among specialists worldwide, they are not perfect. They can be affected by factors such as age, gender, axial length, and refractive error.

    They can be influenced by low image quality due to different eye pathologies. It is essential to be aware of these limitations when interpreting normative data OCT parameters. That is why, in this article, we will discuss the benefits of the collaboration between AI decision-making tools and normative databases to improve patient outcomes.

    What is a normative database for OCT

    Before diving into the subject of the benefits and limitations of normative databases, we would like to remind you what a normative database is. From the moment of its invention, the OCT exam has rapidly gained widespread adoption and has become indispensable in the eye care practice. Critical to this success has been the ability of software to automatically produce important measurements, such as the thickness of the peripapillary retinal nerve fiber layer (RNFL) in tracking glaucoma progression or the total retinal thickness in the assessment of macular diseases. 

    In order to accurately interpret OCT scans, normative databases were created. These databases are now built into almost all commercial OCT devices, allowing eye care specialists to view colored reports and progression maps that assist in the rapid recognition and tracking of pathology.

    Summing up, a normative database for OCT is a set of data that provides references for OCT thickness measurements in a healthy population. These databases are used to compare the OCT measurements of your patient to a population-wide norm. 

    Here are some of the OCT parameters that are commonly measured and compared to normative databases:

    • Retinal nerve fiber layer (RNFL) thickness: the RNFL is a retinal layer that is measured around the optic nerve. This measurement is important for diagnosing optic nerve atrophy.
    • Macular thickness: the macula is responsible for sharp central vision.
    • Ganglion cell complex thickness: the ganglion cell complex is a group of cells in the retina that are responsible for transmitting visual information to the brain.
    • Cup-to-disc ratio, neuroretinal rim, and other optic nerve parameters: are very important for diagnosing glaucoma and other optic nerve pathologies

    These are just a few of the OCT parameters that are commonly measured in normative databases. The specific parameters that are measured can vary depending on the type of OCT device and the clinical application. 

    In addition, different OCT devices can have different measurement capabilities and resolutions. For example, a device that uses time-domain OCT (TD-OCT) technology may have a lower resolution than a device that uses spectral-domain or swept-source OCT (SD or SS-OCT) technology. This means that the normative database for a TD-OCT device may not be as accurate as the normative database for an SD or SS-OCT device.

    What is more, the normative database for a particular device may be based on a specific population of patients. What are the benefits and limitations of normative databases?

    Now that we have highlighted different aspects of the normative database definition let us discuss the benefits and limitations of this tool. Normative databases can sometimes be very helpful for eye care specialists in diagnosis, decision-making, and creating a treatment strategy for eye diseases such as glaucoma and macular degeneration.

    • The measurement provided by the normative database can be used as a baseline for tracking a patient’s response to medication or other treatment. Eye care specialists can track changes between a few visits and determine the impact on the patient.
    • Normative databases show deviations from the norm, which may be a reason for a more comprehensive examination.
    • Eye care specialists can also use normative databases to compare the results of different OCT devices. This can help to ensure that they are using the most accurate device for their patients.

    There are still challenges that must be overcome to develop normative databases sufficient for use in clinical trials. That is why current normative databases also have a lot of limitations.

    Does not detect pathology

    The normative database works only with the thickness of the retina and does not detect what is inside the retina. Therefore, it cannot detect all pathologies where there is no change in retinal thickness. In the early stages, these are absolutely all diseases. We can see deviations from the normative base only when the disease progresses to a later and more severe stage when the retinal thickness decreases or increases.

    Limited diversity

    Normative databases can be limited by factors like age, gender, and ethnicity of the population used to create them. This can result in reduced accuracy for patients who are not well-represented in the database.

    Population variation

    Even healthy patients can have some anatomical variations that fall within the range of normal. These variations may be falsely flagged as abnormalities when compared to the database.

    How Altris AI platform can complement the information provided by the normative database

    Normative databases in OCT play a crucial role in aiding diagnosis and treatment planning, but they also have limitations related to representation, disease progression, and data quality. Eye care specialists need to interpret the results in the context of the patient’s individual characteristics and other clinical information, using additional tools for scan interpretations.

    Sometimes, low-quality OCT scans can be inaccurately interpreted by the eye care specialist, and the normative database can showcase inaccurate measurements. Altris AI platform detects low-quality scans automatically and warns about the possibility of inaccurate results. In addition, the platform automates the detection of 70+ pathologies and pathological signs. Once the user uploads the scan, they can see visualized and highlighted pathological areas and pathology classification that the algorithm has detected. The user can also calculate the area and volume of detected biomarkers.

    Normative database OCT

    Artificial intelligence-based tools for OCT interpretation used along with normative databases can play a crucial role in clinical eye care. Altris AI, for example, can provide eye care specialists with additional and more precise information about separate retinal layer thickness. The system analyzes the thickness of each retina layer or several layers combined.

    Normative database OCT

    While normative databases provide information only about the thickness, AI tools equipped with deep learning models can detect pathological signs in OCT scans that might be missed by the normative database or the human eye, enhancing diagnostic accuracy. Altris AI algorithm classifies the OCT scans based on the degree of pathology found. It can distinguish green concern, which indicates normal retina, yellow – moderate with slight deviations, and red concern, which means high severity level.

    Normative database OCT

    Summing up

    Despite their limitations, normative databases are an essential tool for the clinical use of OCT. They provide a valuable reference point for assessing patients and can help to identify some diseases. However, the normative database measures only the thickness, which is not enough to accurately diagnose the patient and create a treatment plan.

    That is why incorporating AI into OCT interpretation streamlines the decision-making process. By automating the initial analysis of OCT scans, specialists can focus their attention on more complex cases, making the best use of their skills and experience. Moreover, embracing AI technologies empowers eye care specialists to personalize patient care with greater precision.

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.

  • AI blindness prevention

    AI Blindness Prevention: how AI can combat vision loss?

    AI Ophthalmology and Optometry | Altris AI Maria Martynova
    07.08.2023
    9 min read

    AI for Eye Diseases: how AI can combat vision loss?

    The total number of people with near or distant vision impairment reaches 2.2 billion worldwide.

    Of these, 43 million people are blind, and 295 million are suffering from moderate to severe visual impairment. Although the numbers are constantly changing as new research is conducted, the global burden of blindness and visual impairment remains a significant problem of humanity in the fight against which specialists combine their forces with AI technologies.

    AI blindness prevention

    AI blindness prevention tools are being actively developed to transform the landscape of vision care in many ways. Eye care specialists use AI systems for screening and detecting diseases that lead to vision loss. AI-powered smart monitors assist specialists in finding proper contact lenses and glasses. In addition, many researches are held with the help of AI algorithms, as they are able to process vast amounts of data.

    In this article, we will discuss different applications of AI in blindness prevention, specifically how artificial intelligence tools can empower eye care specialists and extend beyond the clinical setting. 

    How to Prevent Blindness: Conditions and Risk Factors

    Before talking about the developments in the AI sector toward blindness prevention, we would like to discuss the most common causes and risk factors of this impairment. Many health and lifestyle factors can influence the risk of vision loss. Smoking, excessive alcohol consumption, sun exposure, and poor nutrition can contribute to diseases that lead to vision loss. 

    In addition, there are many conditions that can lead to blindness if left with no proper treatment, among which are the following. 

    Age-related eye diseases

    The global population is aging rapidly. The number of people aged 65 and over is projected to triple from 1 billion in 2020 to 2.1 billion in 2050. Considering this fact, age-related eye diseases have become a prominent cause of blindness. Such diseases as age-related macular degeneration (AMD), cataract, and glaucoma are more prevalent in older patients, and if left untreated, they can lead to fast and significant vision loss. Regular eye check-ups and timely interventions are crucial in managing these diseases and preventing severe visual impairment.

    AI blindness prevention

    Besides AMD, there are a lot of age-related conditions which can be a red flag when examining the patient. Among these are macular holes, mactel, and vascular diseases, for example,  central retinal vein occlusion (CRVO) and central retinal artery occlusion (CRAO). Detecting even one of these pathological conditions in the early stages of their development is crucial for preventing vision loss. 

    However, many eye care specialists sometimes don’t have enough resources to dedicate more time to analyzing patients’ images. Our recent survey detected that among more than 300 participating optometrists, 40% of them have more than 10 OCT exams per day. Meanwhile, 35% of eye care specialists have 5-10 OCT examinations per day. The greater the number of patients per day, the greater the likelihood that eye care specialists may miss some minor, rare, or early conditions.

    AI blindness prevention

    Fortunately, nowadays, there are a lot of ways to empower the clinical workflow, and AI blindness prevention tools are gaining popularity. Artificial intelligence systems like Altris AI can analyze retinal images and other diagnostic data to detect early signs of age-related eye diseases. Altris AI platform, for example, can detect 70+ pathologies and pathological signs, including the ones, that refer to age-related diseases.

    AI blindness prevention

    Altris AI platform allows eye care specialists to rely on its disease classification when diagnosing a patient. It detects all the most common age-related pathologies, such as AMD, mactel, and vascular diseases – CRVO, CRAO.

    AI blindness prevention

    Diabetes and diabetic retinopathy

    Diabetes and related conditions are also common causes of vision loss. In the United States, about 12% of all new cases of blindness are caused due to diabetes. Globally, diabetes is estimated to cause 4.8% of all blindness. In addition, the risk of blindness from diabetes increases with the duration of diabetes. People with untreated diabetes for years are 25 times more likely to be blind than people without diabetes.

    AI blindness prevention

    The complication of diabetes, called Diabetic retinopathy (DR), affects the blood vessels of the retina and can lead to impaired vision or blindness. With the rising prevalence of diabetes worldwide, DR has become a significant problem. Early detection, proper control of diabetes, and regular eye exams are essential to prevent vision loss. 

    The American diabetes association (ADA) recommends that people with diabetes have an OCT scan of their eyes every year. This is because OCT can help to detect early signs of DR with high precision. In some cases, eye care specialists may recommend more frequent OCT scans. This may be the case if the patient has advanced diabetic retinopathy or a family history of diabetic retinopathy.

    AI blindness prevention

    AI algorithms such as Altris AI can assist in detecting the pathological signs of diabetic retinopathy or diabetic macular edema. Our web platform differentiates certain pathological signs that indicate diabetes-related diseases. Among these are:

    • Intraretinal fluid
    • Subretinal fluid
    • Hard exudates
    • Hyperreflective foci
    • Epiretinal fibrosis

    Genetic and inherited conditions: AI for visually impaired

    Some patients are at a greater risk of developing visual impairment due to genetic factors or the inheritance of certain conditions. For example, retinitis pigmentosa is an inherited disease that affects the photoreceptor cells in the retina and gradually leads to night blindness and loss of peripheral vision. Genetic testing and counseling can help identify people at risk and provide early intervention.

    AI blindness prevention

    Some genetic eye conditions, such as myopia, vitelliform dystrophy, or retinoschisis, can be detected in the early stages with the help of OCT examination and artificial intelligence systems. Altris AI platform can help eye care specialists in their daily practice and make eye care more accessible, allowing specialists to perform regular eye check-ups, and provide timely treatment of genetic conditions.

    AI blindness prevention

    Current ways to prevent blindness with AI 

    As you can see, blindness risk factors encompass a wide range of conditions, pathologies, and circumstances that can significantly impact a patient’s health and increase the likelihood of severe visual impairment. Poorly managed age-related eye diseases, genetic and hereditary factors, and chronic health conditions can lead to eye-related complications, further elevating the risk of blindness.

    AI blindness prevention

    In the following paragraphs, we will describe in detail the modern ways of using artificial intelligence to detect and prevent blindness: from AI-based retinal imaging for early detection of eye diseases to personalized treatment recommendations and remote patient monitoring.

    AI for image interpretation

    AI blindness prevention

    It is important to understand that the timely detection of eye diseases is key to the effective treatment of visual impairments. However, today we have an unfortunate tendency to diagnose severe forms of disease too late. A large-scale survey by Eyewire conducted in 2021 found that about 40% of people in the USA said they had not had an eye exam in more than a year, and 10% said they had not had one in more than five years. 

    In addition, recent research by the British Journal of Ophthalmology found that 25.3% of people in Europe over the age of 60 have early signs of AMD. In the UK, about 200 people a day are affected by a severe form of AMD (wet AMD), which can cause severe blindness. 

    These studies show us that while eye care specialists around the world are trying to treat as many patients as possible, unfortunately, many patients are going blind due to delays in diagnosis. However, using advanced AI-based image analysis systems can speed up the detection of warning signs, allowing you to reach more patients.

    One of the advantages of AI for image analysis is its assistance in decision-making. Altris AI is a great example of how an image analysis system can help prevent blindness with AI. The platform allows eye care specialists to detect 74 retina pathologies and pathological signs, including risk conditions for vision loss, like AMD, Diabetic retinopathy, Vascular diseases of the retina, and others. 

    Diagnosing eye disease in children

    AI blindness prevention

    Today, one of the most important AI blindness prevention research is focused on teaching artificial intelligence algorithms to detect retinopathy in premature infants. Retinopathy of prematurity is the main cause of childhood blindness in middle-income countries. Some researches show that around 50,000 children all over the world are blind due to the disease.

    Unfortunately, experts’ forecasts show that these figures are likely to grow. Retinopathy of prematurity is becoming more and more common, especially in African countries. About 30% of children born in sub-Saharan Africa have this disease and, due to late detection and insufficient attention due to the lack of eye care specialists, can also go blind.

    An artificial intelligence model developed by an international team of scientists from the UK, Brazil, Egypt, and the US, with support from leading healthcare institutions, is able to identify children who are at risk of blindness if left untreated. The team of scientists hopes that this AI system will make access to screening and monitoring of young patients more affordable in many regions with limited eye care services and few qualified eye care specialists.

    AI monitors for eye strain control

    Another interesting application of AI to prevent blindness is eye care monitors. They are planned to be used to avoid eye strain due to prolonged computer work. Such monitors will be programmed to monitor the user’s facial expressions, blinks, and eye movements. They will also be able to assess the level of light in the room, and artificial intelligence will automatically adjust the screen brightness and image contrast.

    Since a huge number of the world’s population has switched to remote work since the pandemic and spends almost all day at the computer, such AI monitors are considered a huge help for users in preventing eye diseases that can lead to visual impairment.

    AI to determine better glasses or contact lenses

    AI blindness prevention

    In the field of developing and calculating suitable lenses, there are also a number of companies that have joined the development of AI tools. AI monitors will collect important information about the patient’s eye condition, analyze it, and prescribe suitable contact lenses or glasses. 

    In addition, these monitors will be able to analyze the patient’s medical history, including medical images, and create the most suitable treatment strategy to maximize visual acuity.

    AI for studying the human eye

    AI blindness prevention

    Today, artificial intelligence for low vision is a promising tool for studying human eye tissue and developing new tools for diagnosing and treating eye diseases, including those that lead to vision loss. Artificial intelligence tools are used to analyze OCT images of the eye to detect changes that may indicate diseases such as diabetic retinopathy, macular degeneration, and glaucoma. AI is also used to predict the development of eye diseases based on genetic or risk factors. This is expected to help doctors identify people at risk of developing eye diseases at an early stage and prevent the progression of the disease.

    Summing up

    Today AI for eye diseases is already helping eye care professionals, and some companies, like Altris AI, are already using the potential of artificial intelligence to provide early detection and diagnostic advice for eye care specialists. But it’s worth noting that AI tools are not capable of coming up with innovative solutions for blindness prevention.

    Only in close cooperation with eye care specialists AI blindness prevention tools can help in many ways, like early detection, providing access to medical care in underserved regions, detecting minor or rare conditions, and allowing to focus on personalized care and treatment of patients.

    Disclaimer: USA FDA 510(k) Class II; Altris Image Management System (Altris IMS); AI/ML models and components intended to use for research purposes only, not for clinical diagnosis purposes.