Structure-Function Correlation of Deep-Learning Quantified Ellipsoid Zone and Retinal Pigment Epithelium Loss and Microperimetry in Geographic Atrophy.

Journal: Investigative ophthalmology & visual science
PMID: 40067294

Abstract

PURPOSE: The purpose of this study was to define structure-function correlation of geographic atrophy (GA) on optical coherence tomography (OCT) and functional testing on microperimetry (MP) based on deep-learning (DL)-quantified spectral-domain OCT (SD-OCT) biomarkers.

Authors

  • Klaudia Birner
    Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
  • Gregor S Reiter
    Department of Ophthalmology and Optometry, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria. gregor.reiter@meduniwien.ac.at.
  • Irene Steiner
    Center for Medical Data Science, Institute of Medical Statistics, Medical University of Vienna, Vienna, Austria.
  • Azin Zarghami
    From the Department of Ophthalmology and Optometry (L.M.C., K.B., A.Z., P.F., U.S-E., G.S.R.), Medical University of Vienna, Vienna, Austria.
  • Amir Sadeghipour
    Christian Doppler Laboratory for Ophthalmic Image Analysis, Vienna Reading Center, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.
  • Simon Schurer-Waldheim
  • Markus Gumpinger
    Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria.
  • Hrvoje Bogunović
    Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria.
  • Ursula Schmidt-Erfurth
    Christian Doppler Laboratory for Ophthalmic Image Analysis (OPTIMA), Department of Ophthalmology, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria.

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