Deep Learning-Based SD-OCT Layer Segmentation Quantifies Outer Retina Changes in Patients With Biallelic RPE65 Mutations Undergoing Gene Therapy.

Journal: Investigative ophthalmology & visual science
PMID: 39745677

Abstract

PURPOSE: To quantify outer retina structural changes and define novel biomarkers of inherited retinal degeneration associated with biallelic mutations in RPE65 (RPE65-IRD) in patients before and after subretinal gene augmentation therapy with voretigene neparvovec (Luxturna).

Authors

  • German Pinedo-Diaz
    Center for Research and Advanced Studies, Cinvestav, Zapopan, Mexico.
  • Birgit Lorenz
    Dept of Ophthalmology, University Hospital, Bonn, Germany.
  • Sandrine H Künzel
    Universitäts-Augenklinik Bonn, Bonn, Deutschland.
  • Sarah Thiele
    Department of Ophthalmology, University of Bonn, Bonn, Germany; GRADE Reading Center, Bonn, Germany.
  • Susana Ortega-Cisneros
    Advanced Studies and Research Center (CINVESTAV), National Polytechnic Institute (IPN), Zapopan 45019, Mexico. sortega@gdl.cinvestav.mx.
  • Eduardo Bayro Corrochano
    Center for Research and Advanced Studies, Cinvestav, Zapopan, Mexico.
  • Frank G Holz
    Department of Ophthalmology, University of Bonn, Bonn, Germany.
  • Alexander Effland
    Institute for Numerical Simulation, University of Bonn, Bonn, Germany. alexander.effland@ins.uni-bonn.de.

Keywords

External Resources

Popular Topics
Recent Journals