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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6774731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
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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