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利用超广角红通道图像提高缺血性视网膜中央静脉阻塞的检出率。

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

机构信息

Department of Ophthalmology and Micro-Technology, Yokohama City University, Kanagawa, Japan.

Department of Ophthalmology, Seirei Hamamatsu General Hospital, Shizuoka, Hamamatsu, Japan.

出版信息

PLoS One. 2021 Nov 23;16(11):e0260383. doi: 10.1371/journal.pone.0260383. eCollection 2021.

DOI:10.1371/journal.pone.0260383
PMID:34813614
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8610275/
Abstract

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.

摘要

目的

研究红通道眼底成像在检测视网膜中央静脉阻塞(CRVO)患者眼部缺血状态中的作用。

方法

对 42 只 CRVO 眼进行超广角(UWF)眼底成像。其中 21 只眼为缺血性,21 只眼为非缺血性。11 只缺血性眼中发现新生血管性青光眼。使用 ImageJ 软件将 UWF 图像分为红色和绿色通道。由盲法分级员分别使用彩色和红色通道图像检查来预测是否存在缺血。在 A 组(共 42 只眼)、B 组(32 只非新生血管性缺血性 CRVO 眼)和 C 组(31 只新生血管性缺血性 CRVO 眼)中分别计算 UWF 成像对缺血的检测灵敏度和特异性。此外,还进行了线性混合模型分析,以研究每组中图像类型与预测准确性之间的关系。

结果

A 组和 B 组之间彩色眼底成像的灵敏度无显著差异。相比之下,A 组和 B 组之间红色通道成像的灵敏度有显著差异(p = 0.031)。在 A 组和 B 组中,预测的准确性与图像类型无关,但在 C 组中显著相关(p = 0.026)。

结论

与彩色眼底图像相比,UWF 红色通道成像能更准确地检测缺血状态,尤其是在非新生血管性 CRVO 眼中。

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