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Autonomous early detection of eye disease in childhood photographs

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 f...

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Autores principales: Munson, Micheal C., Plewman, Devon L., Baumer, Katelyn M., Henning, Ryan, Zahler, Collin T., Kietzman, Alexander T., Beard, Alexandra A., Mukai, Shizuo, Diller, Lisa, Hamerly, Greg, Shaw, Bryan F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774731/
https://www.ncbi.nlm.nih.gov/pubmed/31616792
http://dx.doi.org/10.1126/sciadv.aax6363
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author Munson, Micheal C.
Plewman, Devon L.
Baumer, Katelyn M.
Henning, Ryan
Zahler, Collin T.
Kietzman, Alexander T.
Beard, Alexandra A.
Mukai, Shizuo
Diller, Lisa
Hamerly, Greg
Shaw, Bryan F.
author_facet Munson, Micheal C.
Plewman, Devon L.
Baumer, Katelyn M.
Henning, Ryan
Zahler, Collin T.
Kietzman, Alexander T.
Beard, Alexandra A.
Mukai, Shizuo
Diller, Lisa
Hamerly, Greg
Shaw, Bryan F.
author_sort Munson, Micheal C.
collection PubMed
description 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.
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spelling pubmed-67747312019-10-15 Autonomous early detection of eye disease in childhood photographs Munson, Micheal C. Plewman, Devon L. Baumer, Katelyn M. Henning, Ryan Zahler, Collin T. Kietzman, Alexander T. Beard, Alexandra A. Mukai, Shizuo Diller, Lisa Hamerly, Greg Shaw, Bryan F. Sci Adv Research Articles 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. American Association for the Advancement of Science 2019-10-02 /pmc/articles/PMC6774731/ /pubmed/31616792 http://dx.doi.org/10.1126/sciadv.aax6363 Text en 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). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Munson, Micheal C.
Plewman, Devon L.
Baumer, Katelyn M.
Henning, Ryan
Zahler, Collin T.
Kietzman, Alexander T.
Beard, Alexandra A.
Mukai, Shizuo
Diller, Lisa
Hamerly, Greg
Shaw, Bryan F.
Autonomous early detection of eye disease in childhood photographs
title Autonomous early detection of eye disease in childhood photographs
title_full Autonomous early detection of eye disease in childhood photographs
title_fullStr Autonomous early detection of eye disease in childhood photographs
title_full_unstemmed Autonomous early detection of eye disease in childhood photographs
title_short Autonomous early detection of eye disease in childhood photographs
title_sort autonomous early detection of eye disease in childhood photographs
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774731/
https://www.ncbi.nlm.nih.gov/pubmed/31616792
http://dx.doi.org/10.1126/sciadv.aax6363
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