Using ultra-widefield red channel images to improve the detection of ischemic central retinal vein occlusion.

<h4>Purpose</h4>To examine the usefulness of red channel fundus imaging to detect the ischemic status in eyes with central retinal vein occlusion (CRVO).<h4>Methods</h4>Ultra-widefield (UWF) fundus images were obtained from 42 eyes with CRVO. Twenty-one eyes were ischemic, an...

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Autores principales:	Akinori Sato, Ryo Asaoka, Shin Tanaka, Koichi Nagura, Yui Tanaka, Rei Arasaki, Kazuyoshi Okawa, Shohei Kitahata, Kentaro Nakamura, Shouko Ikeda, Tatsuya Inoue, Yasuo Yanagi, Maiko Maruyama-Inoue, Kazuaki Kadonosono
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/595b4455bbaf4e26808d0b11064e3b15
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spelling	oai:doaj.org-article:595b4455bbaf4e26808d0b11064e3b152021-12-02T20:16:13ZUsing ultra-widefield red channel images to improve the detection of ischemic central retinal vein occlusion.1932-620310.1371/journal.pone.0260383https://doaj.org/article/595b4455bbaf4e26808d0b11064e3b152021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0260383https://doaj.org/toc/1932-6203<h4>Purpose</h4>To examine the usefulness of red channel fundus imaging to detect the ischemic status in eyes with central retinal vein occlusion (CRVO).<h4>Methods</h4>Ultra-widefield (UWF) fundus images were obtained from 42 eyes with CRVO. Twenty-one eyes were ischemic, and 21 eyes were non-ischemic. Rubeosis was found in 11 ischemic eyes. UWF images were split into red and green channels using ImageJ software. Both the color and red channel images were used to predict the presence or absence of ischemia when examined by masked graders. The sensitivity and specificity of UWF imagings for the detection of ischemia were calculated in Group A (total 42 eyes), Group B (32 eyes excluding non-rubeotic ischemic CRVO) and Group C (31 eyes excluding rubeotic ischemic CRVO), respectively. Moreover, a linear mixed model was conducted to investigate the relationship between the type of images and the accuracy of prediction in each group.<h4>Results</h4>No significant difference in the sensitivity of color fundus imaging was seen between Group A and Group B. By contrast, a significant difference in the sensitivity of red channel imaging was seen between Group A and Group B (p = 0.031). The accuracies of the predictions were not associated with the type of image in Group A and Group B, but were significantly associated in Group C (p = 0.026).<h4>Conclusions</h4>UWF red channel imaging enabled more accurate detection of the ischemic status, compared with color fundus images, especially in non-rubeotic CRVO eyes.Akinori SatoRyo AsaokaShin TanakaKoichi NaguraYui TanakaRei ArasakiKazuyoshi OkawaShohei KitahataKentaro NakamuraShouko IkedaTatsuya InoueYasuo YanagiMaiko Maruyama-InoueKazuaki KadonosonoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0260383 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Akinori Sato Ryo Asaoka Shin Tanaka Koichi Nagura Yui Tanaka Rei Arasaki Kazuyoshi Okawa Shohei Kitahata Kentaro Nakamura Shouko Ikeda Tatsuya Inoue Yasuo Yanagi Maiko Maruyama-Inoue Kazuaki Kadonosono Using ultra-widefield red channel images to improve the detection of ischemic central retinal vein occlusion.
description	<h4>Purpose</h4>To examine the usefulness of red channel fundus imaging to detect the ischemic status in eyes with central retinal vein occlusion (CRVO).<h4>Methods</h4>Ultra-widefield (UWF) fundus images were obtained from 42 eyes with CRVO. Twenty-one eyes were ischemic, and 21 eyes were non-ischemic. Rubeosis was found in 11 ischemic eyes. UWF images were split into red and green channels using ImageJ software. Both the color and red channel images were used to predict the presence or absence of ischemia when examined by masked graders. The sensitivity and specificity of UWF imagings for the detection of ischemia were calculated in Group A (total 42 eyes), Group B (32 eyes excluding non-rubeotic ischemic CRVO) and Group C (31 eyes excluding rubeotic ischemic CRVO), respectively. Moreover, a linear mixed model was conducted to investigate the relationship between the type of images and the accuracy of prediction in each group.<h4>Results</h4>No significant difference in the sensitivity of color fundus imaging was seen between Group A and Group B. By contrast, a significant difference in the sensitivity of red channel imaging was seen between Group A and Group B (p = 0.031). The accuracies of the predictions were not associated with the type of image in Group A and Group B, but were significantly associated in Group C (p = 0.026).<h4>Conclusions</h4>UWF red channel imaging enabled more accurate detection of the ischemic status, compared with color fundus images, especially in non-rubeotic CRVO eyes.
format	article
author	Akinori Sato Ryo Asaoka Shin Tanaka Koichi Nagura Yui Tanaka Rei Arasaki Kazuyoshi Okawa Shohei Kitahata Kentaro Nakamura Shouko Ikeda Tatsuya Inoue Yasuo Yanagi Maiko Maruyama-Inoue Kazuaki Kadonosono
author_facet	Akinori Sato Ryo Asaoka Shin Tanaka Koichi Nagura Yui Tanaka Rei Arasaki Kazuyoshi Okawa Shohei Kitahata Kentaro Nakamura Shouko Ikeda Tatsuya Inoue Yasuo Yanagi Maiko Maruyama-Inoue Kazuaki Kadonosono
author_sort	Akinori Sato
title	Using ultra-widefield red channel images to improve the detection of ischemic central retinal vein occlusion.
title_short	Using ultra-widefield red channel images to improve the detection of ischemic central retinal vein occlusion.
title_full	Using ultra-widefield red channel images to improve the detection of ischemic central retinal vein occlusion.
title_fullStr	Using ultra-widefield red channel images to improve the detection of ischemic central retinal vein occlusion.
title_full_unstemmed	Using ultra-widefield red channel images to improve the detection of ischemic central retinal vein occlusion.
title_sort	using ultra-widefield red channel images to improve the detection of ischemic central retinal vein occlusion.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/595b4455bbaf4e26808d0b11064e3b15
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Using ultra-widefield red channel images to improve the detection of ischemic central retinal vein occlusion.

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