Validation of a deep learning model for the automated detection and quantification of cystoid macular oedema on optical coherence tomography in patients with retinitis pigmentosa.

Journal: Acta ophthalmologica
Published Date:

Abstract

PURPOSE: Accurate assessment of cystoid macular oedema (CMO) in patients with retinitis pigmentosa (RP) on spectral-domain optical coherence tomography (SD-OCT) is crucial for tracking disease progression and may serve as a therapeutic endpoint. Manual CMO segmentation is labour-intensive and prone to variability, making artificial intelligence (AI) an appealing solution to improve accuracy and efficiency. This study aimed to validate a deep learning (DL) model for automated CMO detection and quantification on SD-OCT scans in patients with RP.

Authors

  • Hind Almushattat
    Department of Ophthalmology, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
  • Jonathan Hensman
    Department of Ophthalmology, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
  • Yasmine El Allali
    Department of Ophthalmology, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
  • Coen de Vente
    From the Department of Radiology, Nuclear Medicine and Anatomy, Radboud University Medical Center, P.O. Box 9101, 6500 HB Nijmegen, the Netherlands (N.L., C.I.S., L.H.B., M.B., E.C., W.M.v.E., P.K.G., B.G., M.G., N.H., W.H., H.J.H., C.J., R.K., M.K., K.v.L., J.M., M.O., R.S., C. Schaefer-Prokop, S.S., E.T.S., C. Sital, J.T., K.V.V., C.d.V., W.X., B.d.W., M.P., B.v.G.); Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands (L.B.); Thirona, Nijmegen, the Netherlands (J.P.C., E.M.v.R.); Departments of Internal Medicine (T.D.) and Radiology (M.V.), Canisius-Wilhelmina Ziekenhuis, Nijmegen, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands (H.A.G.); GROW School of Oncology and Developmental Biology, Maastricht, the Netherlands (H.A.G.); Departments of Biomedical Physics and Engineering and Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, the Netherlands (L.v.H., I.I.); Department of Radiology, Zuyderland Medical Center, Heerlen, the Netherlands (J.K.); Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany (B.L.); Department of Radiology and Nuclear Medicine, Haaglanden Medical Center, The Hague, the Netherlands (T.v.R.V.); Department of Radiology, Meander Medical Center, Amersfoort, the Netherlands (C. Schaefer-Prokop, S.S.); and Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (J.L.S.).
  • Clara I Sanchez
  • Camiel J F Boon
    Department of Ophthalmology, Leiden University Medical Center, P. O. Box 9600, 2300 RC, Leiden, The Netherlands. cjfboon@hotmail.com.

Keywords

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