Open AccessUsing ultra-widefield red channel images to improve the detection of ischemic central retinal vein occlusion
Author(s) -
Akinori Sato,
Ryo Asaoka,
Shin Tanaka,
Koichi Nagura,
Yoshinori Tanaka,
Rei Arasaki,
Kazuyoshi Okawa,
Shohei Kitahata,
Kentaro Nakamura,
Shouko Ikeda,
Tatsuya Inoue,
Yasuo Yanagi,
Maiko Maruyama-Inoue,
Kazuaki Kadonosono
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0260383
Subject(s) - medicine , fundus (uterus) , ophthalmology , central retinal vein occlusion , ischemia , occlusion , retinal , macular edema
Purpose To examine the usefulness of red channel fundus imaging to detect the ischemic status in eyes with central retinal vein occlusion (CRVO). Methods 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. Results 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). Conclusions UWF red channel imaging enabled more accurate detection of the ischemic status, compared with color fundus images, especially in non-rubeotic CRVO eyes.