Deep Learning-Facilitated Study of the Rate of Change in Photoreceptor Outer Segment Metrics in RPGR-Related X-Linked Retinitis Pigmentosa.

Journal: Investigative ophthalmology & visual science
PMID: 37988107

Abstract

PURPOSE: The aim of this retrospective cohort study was to obtain three-dimensional (3D) photoreceptor outer segment (OS) metrics measurements with the assistance of a deep learning model (DLM) and to evaluate the longitudinal change in OS metrics and associated factors in retinitis pigmentosa GTPase regulator (RPGR) X-linked retinitis pigmentosa (XLRP).

Authors

  • Yi-Zhong Wang
    Retina Foundation of the Southwest, Dallas, TX, USA.
  • Katherine Juroch
    Retina Foundation of the Southwest, Dallas, Texas, United States.
  • Yineng Chen
    Center for Preventive Ophthalmology and Biostatistics, Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
  • Gui-Shuang Ying
    Department of Ophthalmology, Center for Preventive Ophthalmology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: gsying@pennmedicine.upenn.edu.
  • David G Birch
    Retina Foundation of the Southwest, Dallas, TX, USA.

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