Trial reportOphthalmology2025
Disease Activity and Therapeutic Response to Pegcetacoplan for Geographic Atrophy Identified by Deep Learning-Based Analysis of OCT.
Trial report in Ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Detection and Management of Geographic Atrophy Secondary to Age-Related Macular Degeneration Using Noninvasive Retinal Images and Artificial Intelligence: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Longitudinal Prediction of Retinal Sensitivity Based on Disease Progression Quantified From Optical Coherence Tomography in Geographic Atrophy.Investigative ophthalmology & visual science · 2026Trial
- Exploring Trial Endpoints in Geographic Atrophy Based on Localized Functional Changes in Microperimetry and AI-Quantified OCT Biomarkers.Investigative ophthalmology & visual science · 2026Trial
- Dynamics of the EZ/RPE Loss Ratio on OCT Over Time During Geographic Atrophy Progression and Treatment With Pegcetacoplan.Investigative ophthalmology & visual science · 2025Trial
- Predictive Value of Perilesional Fundus Autofluorescence Patterns and OCT-Based Ellipsoid Zone/Retinal Pigment Epithelium Loss Ratios in Geographic Atrophy Growth Rates.Ophthalmology science · 2026Article
- Early Structure-Function Correlates in Neovascular Age-Related Macular Degeneration Using Artificial Intelligence-Derived OCT Biomarkers.Ophthalmology science · 2026Article
- From generalization to precision: A large domain-specific pretrained model for specialized medical tasks.Cell reports. Medicine · 2026Article
- Quantitative Evaluation of Geographic Atrophy Progression Using Geographic Atrophy Lesion Front Displacement.Investigative ophthalmology & visual science · 2026Article
- Comparison of Measurement Techniques for Photoreceptor Loss in Geographic Atrophy.Translational vision science & technology · 2026Article
- Deep Learning-Based Automated Segmentation and Quantification of the Ellipsoid Zone and the RPE-Bruch's Membrane Complex in Healthy Subjects and in Geographic Atrophy.Diagnostics (Basel, Switzerland) · 2026Article
- Optical Coherence Tomography Biomarkers Predicting Progression to Atrophy in Non-Exudative Age-Related Macular Degeneration.Diagnostics (Basel, Switzerland) · 2026Review
- Histologic Photoreceptor and Retinal Pigment Epithelium Degeneration in an Eye With Clinically Documented Geographic Atrophy of AMD.Investigative ophthalmology & visual science · 2026Article
- Choriocapillaris Flow Deficits Are Spatially Linked to Retinal Pigment Epithelium and Photoreceptor Integrity in Geographic Atrophy.Investigative ophthalmology & visual science · 2026Article
- Automated OCT-tailored and same-visit biomarker-targeted microperimetry in geographic atrophy.Scientific reports · 2026Article
- Geographic Atrophy Structure-Function Relationships Based on Loss of OCT Outer Retinal Bands and Fundus Autofluorescence.Ophthalmology science · 2026Article
- Deep learning in geographic atrophy: rethinking age-related macular degeneration progression and treatment.Annals of translational medicine · 2026Article
- Comparison of choroidal hypertransmission and retinal pigment epithelium loss for quantification of geographic atrophy across commonly used SD-OCT devices.Scientific reports · 2026Article
- CLEAR report 1: a scoping review and meta-analysis for definitions, imaging metrics, and functional correlates of photoreceptor integrity in AMD.Frontiers in medicine · 2026Review
- Artificial intelligence in refractive surgery: progress, challenges, and future directions.Frontiers in cell and developmental biology · 2026Review
- Diagnostic Performance of Ring Aperture Retro Mode Imaging for Detecting Pigment Migration in Age-Related Macular Degeneration.Diagnostics (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo quantify morphological changes of the photoreceptors (PRs) and retinal pigment epithelium (RPE) layers under pegcetacoplan therapy in geographic atrophy (GA) using deep learning-based analysis of OCT images.
designPost hoc longitudinal image analysis.
participantsPatients with GA due to age-related macular degeneration from 2 prospective randomized phase III clinical trials (OAKS and DERBY).
methodsDeep learning-based segmentation of RPE loss and PR degeneration, defined as loss of the ellipsoid zone (EZ) layer on OCT, over 24 months.
main outcome measuresChange in the mean area of RPE loss and EZ loss over time in the pooled sham arms and the pegcetacoplan monthly (PM)/pegcetacoplan every other month (PEOM) treatment arms.
resultsA total of 897 eyes of 897 patients were included. There was a therapeutic reduction of RPE loss growth by 22% and 20% in OAKS and 27% and 21% in DERBY for PM and PEOM compared with sham, respectively, at 24 months. The reduction on the EZ level was significantly higher with 53% and 46% in OAKS and 47% and 46% in DERBY for PM and PEOM compared with sham at 24 months. The baseline EZ-RPE difference had an impact on disease activity and therapeutic response. The therapeutic benefit for RPE loss increased with larger EZ-RPE difference quartiles from 21.9%, 23.1%, and 23.9% to 33.6% for PM versus sham (all P < 0.01) and from 13.6% (P = 0.11), 23.8%, and 23.8% to 20.0% for PEOM versus sham (P < 0.01) in quartiles 1, 2, 3, and 4, respectively, at 24 months. The therapeutic reduction of EZ loss increased from 14.8% (P = 0.09), 33.3%, and 46.6% to 77.8% (P < 0.0001) between PM and sham and from 15.9% (P = 0.08), 33.8%, and 52.0% to 64.9% (P < 0.0001) between PEOM and sham for quartiles 1 to 4 at 24 months.
conclusionsDeep learning-based OCT analysis objectively identifies and quantifies PR and RPE degeneration in GA. Reductions in further EZ loss on OCT are even higher than the effect on RPE loss in phase 3 trials of pegcetacoplan treatment. The EZ-RPE difference has a strong impact on disease progression and therapeutic response. Identification of patients with higher EZ-RPE loss difference may become an important criterion for the management of GA secondary to AMD. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.