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Autonomous early detection of eye disease in childhood photographs.

Authors :
Munson MC
Plewman DL
Baumer KM
Henning R
Zahler CT
Kietzman AT
Beard AA
Mukai S
Diller L
Hamerly G
Shaw BF
Source :
Science advances [Sci Adv] 2019 Oct 02; Vol. 5 (10), pp. eaax6363. Date of Electronic Publication: 2019 Oct 02 (Print Publication: 2019).
Publication Year :
2019

Abstract

The "red reflex test" is used to screen children for leukocoria ("white eye") in a standard pediatric examination, but is ineffective at detecting many eye disorders. Leukocoria also presents in casual photographs. The clinical utility of screening photographs for leukocoria is unreported. Here, a free smartphone application (CRADLE: ComputeR-Assisted Detector of LEukocoria) was engineered to detect photographic leukocoria and is available for download under the name "White Eye Detector." This study determined the sensitivity, specificity, and accuracy of CRADLE by retrospectively analyzing 52,982 longitudinal photographs of children, collected by parents before enrollment in this study. The cohort included 20 children with retinoblastoma, Coats' disease, cataract, amblyopia, or hyperopia and 20 control children. For 80% of children with eye disorders, the application detected leukocoria in photographs taken before diagnosis by 1.3 years (95% confidence interval, 0.4 to 2.3 years). The CRADLE application allows parents to augment clinical leukocoria screening with photography.<br /> (Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).)

Details

Language :
English
ISSN :
2375-2548
Volume :
5
Issue :
10
Database :
MEDLINE
Journal :
Science advances
Publication Type :
Academic Journal
Accession number :
31616792
Full Text :
https://doi.org/10.1126/sciadv.aax6363