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Inferred retinal sensitivity in recessive Stargardt disease using machine learning

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 constitu...

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Hauptverfasser: Müller, Philipp Lothar (VerfasserIn) , Odainic, Alexandru (VerfasserIn) , Treis, Tim (VerfasserIn) , Herrmann, Philipp (VerfasserIn) , Tufail, Adnan (VerfasserIn) , Holz, Frank G. (VerfasserIn) , Pfau, Maximilian (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 14 January 2021
In: Scientific reports
Year: 2021, Jahrgang: 11, Pages: 1-11
ISSN:2045-2322
DOI:10.1038/s41598-020-80766-4
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1038/s41598-020-80766-4
Verlag, lizenzpflichtig, Volltext: https://www.nature.com/articles/s41598-020-80766-4
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Verfasserangaben:Philipp L. Müller, Alexandru Odainic, Tim Treis, Philipp Herrmann, Adnan Tufail, Frank G. Holz & Maximilian Pfau

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520 |a 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. 
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