{"doi":"10.1167/iovs.67.1.22","title":"Exploring Trial Endpoints in Geographic Atrophy Based on Localized Functional Changes in Microperimetry and AI-Quantified OCT Biomarkers","abstract":null,"journal":"Investigative Ophthalmology &amp; Visual Science","year":2026,"id":649484,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1693125,"name":"Julia Mai","orcid":null,"position":1,"is_corresponding":false},{"id":1693127,"name":"Daniela Boryshchuk","orcid":null,"position":2,"is_corresponding":false},{"id":1421206,"name":"Florian Frommlet","orcid":"0000-0003-4104-1768","position":3,"is_corresponding":false},{"id":1693130,"name":"Marie Louise Enzendorfer","orcid":null,"position":4,"is_corresponding":false},{"id":1693132,"name":"Simon Schürer-Waldheim","orcid":null,"position":5,"is_corresponding":false},{"id":1693134,"name":"Markus Gumpinger","orcid":null,"position":6,"is_corresponding":false},{"id":1693136,"name":"Wolf-Dieter Vogl","orcid":null,"position":7,"is_corresponding":false},{"id":1693137,"name":"Oliver Leingang","orcid":null,"position":8,"is_corresponding":false},{"id":1693138,"name":"Stefan Sacu","orcid":null,"position":9,"is_corresponding":false},{"id":1693140,"name":"Ursula Schmidt-Erfurth","orcid":null,"position":10,"is_corresponding":false},{"id":1693124,"name":"Klaudia Birner","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Exploring Trial Endpoints in Geographic Atrophy Based on Localized Functional Changes in Microperimetry and AI-Quantified OCT Biomarkers","abstract":"Purpose: The introduction of novel therapeutics for geographic atrophy (GA) highlights the need to define functional correlates of high-risk optical coherence tomography (OCT) biomarkers, in particular retinal-pigment-epithelium (RPE) loss and ellipsoid zone (EZ) loss. We conducted a pointwise structure/function correlation between OCT-based markers and retinal sensitivity (RS) in microperimetry (MP) in GA. Methods: Patients from the phase III OAKS clinical trial (NCT03525613) examined by OCT (Heidelberg Spectralis) and Macular Integrity Assessment (MAIA, iCare, and Centervue) MP in a 68-point grid were analyzed. Deep-learning-(DL)-based algorithms quantified RPE, EZ loss, and EZ thickness from OCT. Co-registration between MP and OCT was established between each MP stimulus and OCT B-scan location. A multivariable mixed effect model was implemented to identify RS for each OCT biomarker, accounting for eccentricity. Results: Six hundred seventy-eight study and fellow eyes of 406 patients with 41,925 MP points were included. Mean RS was 17 ± 7 decibel (dB), 9 ± 7 dB, and 2 ± 6 dB in intact retina, EZ, and RPE loss, respectively. Increased EZ thickness improved RS by 0.2 dB/µm (95% confidence interval [CI] = 0.2 to 0.2, P < 0.001). In areas of EZ loss, RS was significantly reduced compared to intact retina (-8 dB, 95% CI = -9 to -8]), whereas RPE loss decreased RS by -14 dB (95% CI = -15 to -14), accounting for eccentricity (all P < 0.001). Conclusions: A significant association between RS in MP and EZ and RPE loss on OCT was established using DL. A reliable quantitative structure/function association provides the base for developing functional endpoints in clinical care and approval of novel therapeutics for GA.","is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"41533918","pmcid":"PMC12805968","openalex_id":"https://openalex.org/W7120246510","authors":[],"funders":[],"total_grants":0,"fwci":6.4675,"citation_percentile":0.94255192,"influential_citations":0,"citation_trend":[{"year":2026,"count":2}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://iovs.arvojournals.org/arvo/content_public/journal/iovs/938741/i1552-5783-67-1-22_1767878064.60363.pdf","host_type":"journal"},{"url":"https://iovs.arvojournals.org/arvo/content_public/journal/iovs/938741/i1552-5783-67-1-22_1767878064.60363.pdf","host_type":"publisher"},{"url":"https://iovs.arvojournals.org/article.aspx?articleid=2811339","host_type":"publisher"},{"url":"https://doi.org/10.1167/iovs.67.1.22","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/41533918","host_type":"repository"},{"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12805968/","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC12805968","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC12805968?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Optical Coherence Tomography Applications","Protease and Inhibitor Mechanisms","Angiogenesis and VEGF in Cancer","Humans","Tomography, Optical Coherence","Geographic Atrophy","Visual Field Tests","Male","Female","Aged","Visual Fields","Retinal Pigment Epithelium","Biomarkers","Visual Acuity","Middle Aged","Deep Learning","Retina"],"mesh_terms":["Deep Learning","Aged","Female","Humans","Male","Middle Aged","Retina","Visual Acuity","Visual Fields","Biomarkers","Tomography, Optical Coherence","Retinal Pigment Epithelium","Geographic Atrophy","Visual Field Tests"],"keywords":["Microperimetry","Geographic atrophy","Clinical trial","Atrophy","Optical coherence tomography"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[{"name":"nct"}],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-10T03:47:43.671120Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}