Automatic detection of ellipsoid zone loss due to Hydroxychloroquine retinal toxicity from SD-OCT imaging

Tharindu S. De Silva; Gopal Jayakar; Peyton Grisso; Emily Y. Chew; Nathan Hotaling; Catherine A. Cukras

doi:10.1117/12.2582153

15 February 2021 Automatic detection of ellipsoid zone loss due to Hydroxychloroquine retinal toxicity from SD-OCT imaging

Tharindu S. De Silva, Gopal Jayakar, Peyton Grisso, Emily Y. Chew, Nathan Hotaling, Catherine A. Cukras

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Proceedings Volume 11597, Medical Imaging 2021: Computer-Aided Diagnosis; 115970Q (2021) https://doi.org/10.1117/12.2582153
Event: SPIE Medical Imaging, 2021, Online Only

Abstract

Retinal toxicity among long-term users of Hydroxychloroquine manifests with loss in the Ellipsoid zone (EZ) detectable on SD-OCT imaging. This work reports an automatic deep-learning algorithm to detect and segment EZ loss in SD-OCT. The proposed model predicts EZ loss map, in a dual network architecture that operates in parallel combining scan-by-scan detections in horizontal and vertical directions. The combined model demonstrated the best overall performance with F1 score = 0.91 ± 0.07, improving the performance compared to individual models. Automatic methods for EZ loss detection could provide a useful tool to facilitate screening of patients for evidence of toxicity.

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Tharindu S. De Silva, Gopal Jayakar, Peyton Grisso, Emily Y. Chew, Nathan Hotaling, and Catherine A. Cukras "Automatic detection of ellipsoid zone loss due to Hydroxychloroquine retinal toxicity from SD-OCT imaging", Proc. SPIE 11597, Medical Imaging 2021: Computer-Aided Diagnosis, 115970Q (15 February 2021); https://doi.org/10.1117/12.2582153

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KEYWORDS

Toxicity

Coherence imaging

Image segmentation

Optical coherence tomography

Image processing algorithms and systems

Image quality

Network architectures

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