TY - JOUR
T1 - Advances in retinopathy of prematurity imaging
AU - Wakabayashi, Taku
AU - Patel, Samir N.
AU - Campbell, J. P.
AU - Chang, Emmanuel Y.
AU - Nudleman, Eric D.
AU - Yonekawa, Yoshihiro
N1 - Publisher Copyright:
© 2022 Elsevier B.V.. All rights reserved.
PY - 2022/7/1
Y1 - 2022/7/1
N2 - 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.
AB - 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.
KW - Angiography
KW - imaging
KW - retinopathy of prematurity
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U2 - 10.4103/sjopt.sjopt_20_22
DO - 10.4103/sjopt.sjopt_20_22
M3 - Article
AN - SCOPUS:85140986934
SN - 1319-4534
VL - 36
SP - 243
EP - 250
JO - Saudi Journal of Ophthalmology
JF - Saudi Journal of Ophthalmology
IS - 3
ER -