Merle, David A;
Guymer, Robyn H;
Chia, Mark A;
Chopra, Reena;
Williamson, Dominic J;
Struyven, Robbert R;
Jannaud, Maxime;
... Wu, Zhichao; + view all
(2025)
Mapping the impact: AI-driven quantification of geographic atrophy on OCT scans and its association with visual sensitivity loss.
British Journal of Ophthalmology
10.1136/bjo-2024-326603.
(In press).
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Abstract
BACKGROUND/AIMS: To examine the association between artificial intelligence (AI)-driven segmentation of geographic atrophy (GA) on optical coherence tomography (OCT) and visual sensitivity loss quantified by defect-mapping microperimetry, a testing strategy optimised to quantify the spatial extent of deep visual sensitivity losses. METHODS: 50 individuals with GA secondary to age-related macular degeneration underwent defect-mapping microperimetry testing within the central 8° radius region in one eye. GA on OCT was automatically segmented with an AI-based multiclass classification and segmentation model, and GA on fundus autofluorescence (FAF) images was manually annotated. Their extent in the topographically corresponding region sampled on microperimetry was derived, and structure-function relationships were examined based on Spearman correlation coefficients (ρ). The distance of each test location from the OCT-defined and FAF-defined GA margin was also derived and used in prediction models of non-response on defect-mapping microperimetry. RESULTS: There was a strong correlation between the proportion of locations missed on defect-mapping microperimetry and the corresponding percentage of the central 8° radius region with GA on OCT (ρ=0.85) and FAF (ρ=0.89). Prediction models for non-response at individual test locations using GA derived from OCT and FAF imaging had a sensitivity of 59% and 62% (p=0.310), respectively, at 95% specificity. CONCLUSIONS: AI-driven, automated quantification of GA on OCT showed a strong correlation with the global extent of visual sensitivity loss, comparable with those based on manual annotations on FAF imaging. These findings affirm the expected functional relevance of OCT-derived GA measurements and their clinical utility for monitoring disease progression in those with GA.
| Type: | Article |
|---|---|
| Title: | Mapping the impact: AI-driven quantification of geographic atrophy on OCT scans and its association with visual sensitivity loss |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1136/bjo-2024-326603 |
| Publisher version: | https://doi.org/10.1136/bjo-2024-326603 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Age-Related Macular Degeneration, Field of vision, Imaging, Macula, Retina |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10210532 |
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