Glaucoma Expert-level Detection of Angle Closure in Goniophotographs with Convolutional Neural Networks: The Chinese American Eye Study: Automated Angle Closure Detection in Goniophotographs

Closure of the anterior chamber angle impairs outflow of aqueous humor through the trabecular meshwork, leading to elevated intraocular pressure and glaucomatous optic neuropathy. Goniophotography is one method for evaluating the angle and detecting eyes at risk for angle closure glaucoma. However,...

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Bibliographic Details
Published inAmerican journal of ophthalmology Vol. 226; pp. 100 - 107
Main Authors Chiang, Michael, Guth, Daniel, Pardeshi, Anmol A., Randhawa, Jasmeen, Shen, Alice, Shan, Meghan, Dredge, Justin, Nguyen, Annie, Gokoffski, Kimberly, Wong, Brandon J., Song, Brian, Lin, Shan, Varma, Rohit, Xu, Benjamin Y.
Format Journal Article
LanguageEnglish
Published 09.02.2021
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Summary:Closure of the anterior chamber angle impairs outflow of aqueous humor through the trabecular meshwork, leading to elevated intraocular pressure and glaucomatous optic neuropathy. Goniophotography is one method for evaluating the angle and detecting eyes at risk for angle closure glaucoma. However, manual assessment of goniotographs is time- and expertise-dependent. In this study, we develop an automated deep learning classifier that detects angle closure in EyeCam goniophotographs with performance comparable to an experienced glaucoma specialist.
Bibliography:Benjamin Xu, MD, PhD, graduated from Yale University with a Bachelor of Science in Biomedical Engineering. He received his MD and PhD from Columbia University College of Physicians and Surgeons as a member of the NIH-funded Medical Scientist Training Program. Dr. Xu completed his ophthalmology residency at the LAC+USC Medical Center / USC Roski Eye Institute and glaucoma fellowship at the UCSD Shiley Eye Institute. He is now a member of the glaucoma service at the USC Roski Eye Institute. His research focuses on studying the impact of angle closure disease on patient populations in the United States and developing new clinical methods to detect patients at high risk for primary angle closure glaucoma.
ISSN:0002-9394
1879-1891
DOI:10.1016/j.ajo.2021.02.004