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早产儿视网膜病变中的 Plus 病:视野对诊断的影响。

Plus disease in retinopathy of prematurity: diagnostic impact of field of view.

机构信息

Department of Ophthalmology, Columbia University College of Physicians and Surgeons, New York, New York, USA.

出版信息

Retina. 2012 Jun;32(6):1148-55. doi: 10.1097/IAE.0b013e31823ac3c3.

Abstract

PURPOSE

To examine the impact of retinal field of view and magnification on interexpert reliability of plus disease diagnosis in retinopathy of prematurity.

METHODS

Fifteen wide-angle images from infants with retinopathy of prematurity were cropped and adjusted in magnification to create 2 additional image categories: medium angle (40°-50°) and narrow angle (20°-30°). These 45 images were uploaded to a Web-based system and interpreted independently by 13 experts of retinopathy of prematurity using a 3-level (plus, preplus, neither) and 2-level (plus, not plus) classification. Absolute agreement and kappa statistics were calculated to compare interexpert reliability.

RESULTS

In the 3-level classification, ≥ 70% experts agreed on the same diagnosis in 8 of the 15 wide-angle images (53%), but only in 3 of the 15 medium-angle (20%) and 3 of the 15 narrow-angle (20%) images. In the 2-level classification, ≥ 80% experts agreed on the same diagnosis in 11 of the 15 wide-angle images (73%), but only in 9 of the 15 medium-angle (60%) and 3 of the 15 narrow-angle (20%) images. Mean kappa of each expert compared with all other experts was 0.40 to 0.59 in 8 of 13 experts (62%) using wide-angle images, was 0 to 0.19 in 7 of 13 experts (54%) using medium-angle images, and was 0.20 to 0.39 in 9 of 13 experts (69%) using narrow-angle images.

CONCLUSION

Interexpert agreement in plus disease diagnosis in wide-angle images is higher than from medium-angle and narrow-angle images. Plus disease is defined using a narrow-angle standard published photograph, yet this study suggests that peripheral findings also contribute to diagnosis.

摘要

目的

探讨视网膜视野和放大倍率对早产儿视网膜病变(ROP)中“+”病诊断专家间可靠性的影响。

方法

从患有 ROP 的婴儿中获取 15 张广角图像,并对其进行裁剪和放大倍率调整,以创建另外 2 个图像类别:中角度(40°-50°)和窄角度(20°-30°)。将这 45 张图像上传到基于网络的系统中,由 13 名 ROP 专家使用 3 级(“+”、“+前”、“无”)和 2 级(“+”、“无”)分类独立进行解读。计算绝对一致性和kappa 统计数据,以比较专家间的可靠性。

结果

在 3 级分类中,15 张广角图像中有 8 张(53%)至少有 70%的专家做出了相同的诊断,但只有 15 张中角度图像中有 3 张(20%)和 15 张窄角度图像中有 3 张(20%)。在 2 级分类中,15 张广角图像中有 11 张(73%)至少有 80%的专家做出了相同的诊断,但只有 15 张中角度图像中有 9 张(60%)和 15 张窄角度图像中有 3 张(20%)。在使用广角图像时,13 名专家中的 8 名(62%)与所有其他专家相比,每位专家的平均kappa 值为 0.40 至 0.59;在使用中角度图像时,13 名专家中的 7 名(54%)为 0 至 0.19;在使用窄角度图像时,13 名专家中的 9 名(69%)为 0.20 至 0.39。

结论

在广角图像中,“+”病诊断的专家间一致性高于中角度和窄角度图像。“+”病是使用发表的窄角标准照片定义的,但本研究表明,周边发现也有助于诊断。

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