Evidence map›Paper›PMID 41660488›Full record

ArticleOphthalmology science2026

Geographic Atrophy Structure-Function Relationships Based on Loss of OCT Outer Retinal Bands and Fundus Autofluorescence.

Joseph P M Blair, Robyn H Guymer, Alicja Krzemińska-Ściga, Sandro De Zanet, Carlos Ciller, Stefanos Apostolopoulos, Zhichao Wu

Abstract read
In one paragraph

Article in Ophthalmology science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Joseph P M BlairResearch, Ikerian AG, Bern, Switzerland.
Robyn H GuymerCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
Alicja Krzemińska-ŚcigaResearch, Ikerian AG, Bern, Switzerland.
Sandro De ZanetResearch, Ikerian AG, Bern, Switzerland.
Carlos CillerResearch, Ikerian AG, Bern, Switzerland.
Stefanos ApostolopoulosResearch, Ikerian AG, Bern, Switzerland.
Zhichao WuCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To examine the association between the loss of the OCT outer retinal bands and deep visual sensitivity losses quantified by defect-mapping microperimetry (DMP). Design: Cross-sectional study. Participants: Fifty individuals with geographic atrophy (GA) secondary to age-related macular degeneration. Methods: All participants underwent DMP testing-a strategy optimized to quantify the spatial extent of deep visual sensitivity losses through single presentations of 10 decibel stimuli-with 208 locations sampled within the central 8° radius region. Participants also underwent OCT and fundus autofluorescence (FAF) imaging. OCT scans were automatically segmented to detect regions of retinal pigment epithelium (RPE), ellipsoid zone (EZ), and external limiting membrane (ELM) loss, and FAF images were manually annotated for GA. The extent of these parameters in the central 8° radius region where DMP testing was performed, and at each individual test location, was derived through image coregistration for evaluating structure-function associations. Main Outcome Measures: Global structure-function correlation between the proportion of locations missed on DMP testing and the extent of loss of the structural parameters based on Spearman rank correlation coefficient (ρ), and spatial agreement between the presence of structural changes and missed stimuli on DMP testing at individual test locations based on the Dice similarity coefficient (DSC). Results: There were strong global structure-function correlations based on loss of the OCT outer retinal bands (ρ = 0.85-0.86), similar to what was seen with FAF-defined GA (ρ = 0.89; Conclusions: Spatial agreement with pointwise deep visual sensitivity losses was comparable based on OCT-defined RPE loss and FAF-defined GA, but higher based on EZ and ELM loss. These findings confirm the expected functional relevance of these automatically derived OCT-defined parameters and support their utility as tools for monitoring GA progression. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

Ellipsoid zoneFundus autofluorescenceGeographic atrophyMicroperimetryVisual field tests

Identifiers

PMID41660488
PMCPMC12874124

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.