{
  "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.",
  "authors": [
    {
      "affiliations": [
        "NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, London, UK",
        "Institute of Ophthalmology, University College London, London, UK",
        "Centre for Ophthalmology, University Hospital Tuebingen, Elfriede-Aulhorn-Str. 7, 72076 Tübingen, Germany",
        "Department of Ophthalmology, Medical University of Graz, Graz, Austria"
      ],
      "name": "David A Merle"
    },
    {
      "affiliations": [
        "Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia",
        "Ophthalmology, Department of Surgery, The University of Melbourne, Melbourne, Victoria, Australia"
      ],
      "name": "Robyn H Guymer"
    },
    {
      "affiliations": [
        "NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, London, UK",
        "Institute of Ophthalmology, University College London, London, UK"
      ],
      "name": "Mark A Chia"
    },
    {
      "affiliations": [
        "NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, London, UK",
        "Institute of Ophthalmology, University College London, London, UK"
      ],
      "name": "Reena Chopra"
    },
    {
      "affiliations": [
        "NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, London, UK",
        "Institute of Ophthalmology, University College London, London, UK"
      ],
      "name": "Dominic J Williamson"
    },
    {
      "affiliations": [
        "NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, London, UK",
        "Institute of Ophthalmology, University College London, London, UK"
      ],
      "name": "Robbert R Struyven"
    },
    {
      "affiliations": [
        "Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia"
      ],
      "name": "Maxime Jannaud"
    },
    {
      "affiliations": [
        "Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia",
        "Ophthalmology, Department of Surgery, The University of Melbourne, Melbourne, Victoria, Australia"
      ],
      "name": "Xavier Hadoux"
    },
    {
      "affiliations": [
        "Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia",
        "Ophthalmology, Department of Surgery, The University of Melbourne, Melbourne, Victoria, Australia"
      ],
      "name": "Peter van Wijngaarden"
    },
    {
      "affiliations": [
        "NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust, London, UK",
        "Institute of Ophthalmology, University College London, London, UK"
      ],
      "name": "Pearse A Keane"
    },
    {
      "affiliations": [
        "Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia",
        "Ophthalmology, Department of Surgery, The University of Melbourne, Melbourne, Victoria, Australia"
      ],
      "name": "Zhichao Wu"
    }
  ],
  "title": "Mapping the impact: AI-driven quantification of geographic atrophy on OCT scans and its association with visual sensitivity loss",
  "uid": "106db4b5-e33a-54cf-b22a-6ab7e2468f4e"
}