Inferred retinal sensitivity in recessive Stargardt disease using machine learning

• Verfasst von: Müller, Philipp Lothar [VerfasserIn]
• Verfasst von: Odainic, Alexandru [VerfasserIn]
• Verfasst von: Treis, Tim [VerfasserIn]
• Verfasst von: Herrmann, Philipp [VerfasserIn]
• Verfasst von: Tufail, Adnan [VerfasserIn]
• Verfasst von: Holz, Frank G. [VerfasserIn]
• Verfasst von: Pfau, Maximilian [VerfasserIn]
• Titel: Inferred retinal sensitivity in recessive Stargardt disease using machine learning
• Verf.angabe: Philipp L. Müller, Alexandru Odainic, Tim Treis, Philipp Herrmann, Adnan Tufail, Frank G. Holz & Maximilian Pfau
• E-Jahr: 2021
• Jahr: 14 January 2021
• Umfang: 11 S.
• Fussnoten: Gesehen am 26.06.2021
• Titel Quelle: Enthalten in: Scientific reports
• Ort Quelle: [London] : Macmillan Publishers Limited, part of Springer Nature, 2011
• Jahr Quelle: 2021
• Band/Heft Quelle: 11(2021), Artikel-ID 1466, Seite 1-11
• ISSN Quelle: 2045-2322
• DOI: doi:10.1038/s41598-020-80766-4
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1761315129

Abstract

Spatially-resolved retinal function can be measured by psychophysical testing like fundus-controlled perimetry (FCP or ‘microperimetry’). It may serve as a performance outcome measure in emerging interventional clinical trials for macular diseases as requested by regulatory agencies. As FCP constitute laborious examinations, we have evaluated a machine-learning-based approach to predict spatially-resolved retinal function (’inferred sensitivity’) based on microstructural imaging (obtained by spectral domain optical coherence tomography) and patient data in recessive Stargardt disease. Using nested cross-validation, prediction accuracies of (mean absolute error, MAE [95% CI]) 4.74 dB [4.48-4.99] were achieved. After additional inclusion of limited FCP data, the latter reached 3.89 dB [3.67-4.10] comparable to the test-retest MAE estimate of 3.51 dB [3.11-3.91]. Analysis of the permutation importance revealed, that the IS&OS and RPE thickness were the most important features for the prediction of retinal sensitivity. ’Inferred sensitivity’, herein, enables to accurately estimate differential effects of retinal microstructure on spatially-resolved function in Stargardt disease, and might be used as quasi-functional surrogate marker for a refined and time-efficient investigation of possible functionally relevant treatment effects or disease progression.