ArticleActa ophthalmologica2025
Correlation of retinal fluid and photoreceptor and RPE loss in neovascular AMD by automated quantification, a real-world FRB! analysis.
Article in Acta ophthalmologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Fluid/function correlation using AI-based quantification versus central subfield thickness in treatment-naïve and pre-treated patients with neovascular AMD in a real-world setting.Acta ophthalmologica · 2026Trial
- Early Structure-Function Correlates in Neovascular Age-Related Macular Degeneration Using Artificial Intelligence-Derived OCT Biomarkers.Ophthalmology science · 2026Article
- Faricimab for treatment-naïve nAMD: 1- and 2-year outcomes and PS-OCT polarimetric entropy.International ophthalmology · 2026Article
- From Subretinal to Intraretinal Fluid in Type 1 Macular Neovascularization: A Clinicopathologic Disease Transition Model.Investigative ophthalmology & visual science · 2026Article
- Contrast Sensitivity Impairment in Diabetic Retinopathy: Clinical and Structural Correlates.Diagnostics (Basel, Switzerland) · 2026Review
- Automated fluid monitoring to optimize the follow-up of neovascular age-related macular degeneration patients in the Brazilian population.International journal of retina and vitreous · 2025Article
- Real-world faricimab switch in France: artificial intelligence-based detection of changes in exudative signs in difficult-to-treat neovascular age-related macular degeneration.BMJ open ophthalmology · 2025Article
- Correlation of retinal fluid and photoreceptor and RPE loss in neovascular AMD by automated quantification, a real-world FRB! analysis.Acta ophthalmologica · 2025Article
- Rethinking Clinical Trials in Age-Related Macular Degeneration: How AI-Based OCT Analysis Can Support Successful Outcomes.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Quantitative Assessment of En‑face OCT‑Derived Minimum Intensity Fluid Changes Following Ranibizumab Biosimilar Therapy in Macular Neovascularization Secondary to nAMD and PCV.Clinical ophthalmology (Auckland, N.Z.) · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo quantify ellipsoid zone (EZ) loss during anti-VEGF therapy for neovascular age-related macular degeneration (nAMD) and correlate these findings with nAMD disease activity using artificial intelligence-based algorithms.
methodsSpectral domain optical coherence tomography (Spectralis, Heidelberg Engineering) images from nAMD treatment-naïve patients from the Fight Retinal Blindness! (FRB!) Registry from Zürich, Switzerland were processed at baseline and over 3 years of follow-up. An approved deep learning algorithm (Fluid Monitor, RetInSight) was used to automatically quantify intraretinal fluid (IRF), subretinal fluid (SRF) and pigment epithelial detachment (PED). An ensemble U-net deep learning algorithm was used to automated quantify EZ integrity based on EZ layer thickness. The impact of fluid volumes on EZ thickness and late-stages outcomes were calculated using Wilcoxon rank-sum tests, a linear mixed model and a longitudinal panel regression model.
resultsTwo hundred and eleven eyes from 158 patients were included. The mean ± SD EZ loss area in the central 6 mm was 1.81 ± 2.68 mm
conclusionsIntraretinal fluid and PED volumes and their resolution pattern have an impact on alteration of the underlying EZ layer. AI-supported quantifications are helpful in quantifying early signs of macular atrophy and providing individual risk profiles as a basis for tailored therapies for optimized visual outcomes.
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