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Advances in retinopathy of prematurity imaging
Retinopathy of prematurity (ROP) remains the leading cause of childhood blindness worldwide. Recent advances in ROP imaging have significantly improved our understanding of the pathogenesis and pathophysiological course of ROP including the acute phase, regression, reactivation, and late complicatio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583355/ https://www.ncbi.nlm.nih.gov/pubmed/36276248 http://dx.doi.org/10.4103/sjopt.sjopt_20_22 |
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author | Wakabayashi, Taku Patel, Samir N. Campbell, J. P. Chang, Emmanuel Y. Nudleman, Eric D. Yonekawa, Yoshihiro |
author_facet | Wakabayashi, Taku Patel, Samir N. Campbell, J. P. Chang, Emmanuel Y. Nudleman, Eric D. Yonekawa, Yoshihiro |
author_sort | Wakabayashi, Taku |
collection | PubMed |
description | Retinopathy of prematurity (ROP) remains the leading cause of childhood blindness worldwide. Recent advances in ROP imaging have significantly improved our understanding of the pathogenesis and pathophysiological course of ROP including the acute phase, regression, reactivation, and late complications, known as adult ROP. Recent progress includes various contact and noncontact wide-field imaging devices for fundus imaging, smartphone-based fundus photography, wide-field fluorescein angiography, handheld optical coherence tomography (OCT) devices for wide-field en face OCT images, and OCT angiography. Images taken by those devices were incorporated in the recently updated guidelines of ROP, the International Classification of Retinopathy of Prematurity, Third Edition (ICROP3). ROP imaging has also allowed the real-world adoption of telemedicine- and artificial intelligence (AI)-based screening. Recent study demonstrated proof of concept that AI has a high diagnostic performance for the detection of ROP in a real-world screening. Here, we summarize the recent advances in ROP imaging and their application for screening, diagnosis, and management of ROP. |
format | Online Article Text |
id | pubmed-9583355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-95833552022-10-21 Advances in retinopathy of prematurity imaging Wakabayashi, Taku Patel, Samir N. Campbell, J. P. Chang, Emmanuel Y. Nudleman, Eric D. Yonekawa, Yoshihiro Saudi J Ophthalmol Update on Retinopathy of Prematurity Retinopathy of prematurity (ROP) remains the leading cause of childhood blindness worldwide. Recent advances in ROP imaging have significantly improved our understanding of the pathogenesis and pathophysiological course of ROP including the acute phase, regression, reactivation, and late complications, known as adult ROP. Recent progress includes various contact and noncontact wide-field imaging devices for fundus imaging, smartphone-based fundus photography, wide-field fluorescein angiography, handheld optical coherence tomography (OCT) devices for wide-field en face OCT images, and OCT angiography. Images taken by those devices were incorporated in the recently updated guidelines of ROP, the International Classification of Retinopathy of Prematurity, Third Edition (ICROP3). ROP imaging has also allowed the real-world adoption of telemedicine- and artificial intelligence (AI)-based screening. Recent study demonstrated proof of concept that AI has a high diagnostic performance for the detection of ROP in a real-world screening. Here, we summarize the recent advances in ROP imaging and their application for screening, diagnosis, and management of ROP. Wolters Kluwer - Medknow 2022-10-14 /pmc/articles/PMC9583355/ /pubmed/36276248 http://dx.doi.org/10.4103/sjopt.sjopt_20_22 Text en Copyright: © 2022 Saudi Journal of Ophthalmology https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Update on Retinopathy of Prematurity Wakabayashi, Taku Patel, Samir N. Campbell, J. P. Chang, Emmanuel Y. Nudleman, Eric D. Yonekawa, Yoshihiro Advances in retinopathy of prematurity imaging |
title | Advances in retinopathy of prematurity imaging |
title_full | Advances in retinopathy of prematurity imaging |
title_fullStr | Advances in retinopathy of prematurity imaging |
title_full_unstemmed | Advances in retinopathy of prematurity imaging |
title_short | Advances in retinopathy of prematurity imaging |
title_sort | advances in retinopathy of prematurity imaging |
topic | Update on Retinopathy of Prematurity |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583355/ https://www.ncbi.nlm.nih.gov/pubmed/36276248 http://dx.doi.org/10.4103/sjopt.sjopt_20_22 |
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