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基于计算机图像分析的早产儿视网膜病变中 Plus 病的专家诊断。

Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis.

机构信息

Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland.

Cognitive Systems Laboratory, Northeastern University, Boston, Massachusetts.

出版信息

JAMA Ophthalmol. 2016 Jun 1;134(6):651-7. doi: 10.1001/jamaophthalmol.2016.0611.

Abstract

IMPORTANCE

Published definitions of plus disease in retinopathy of prematurity (ROP) reference arterial tortuosity and venous dilation within the posterior pole based on a standard published photograph. One possible explanation for limited interexpert reliability for a diagnosis of plus disease is that experts deviate from the published definitions.

OBJECTIVE

To identify vascular features used by experts for diagnosis of plus disease through quantitative image analysis.

DESIGN, SETTING, AND PARTICIPANTS: A computer-based image analysis system (Imaging and Informatics in ROP [i-ROP]) was developed using a set of 77 digital fundus images, and the system was designed to classify images compared with a reference standard diagnosis (RSD). System performance was analyzed as a function of the field of view (circular crops with a radius of 1-6 disc diameters) and vessel subtype (arteries only, veins only, or all vessels). Routine ROP screening was conducted from June 29, 2011, to October 14, 2014, in neonatal intensive care units at 8 academic institutions, with a subset of 73 images independently classified by 11 ROP experts for validation. The RSD was compared with the majority diagnosis of experts.

MAIN OUTCOMES AND MEASURES

The primary outcome measure was the percentage of accuracy of the i-ROP system classification of plus disease, with the RSD as a function of the field of view and vessel type. Secondary outcome measures included the accuracy of the 11 experts compared with the RSD.

RESULTS

Accuracy of plus disease diagnosis by the i-ROP computer-based system was highest (95%; 95% CI, 94%-95%) when it incorporated vascular tortuosity from both arteries and veins and with the widest field of view (6-disc diameter radius). Accuracy was 90% or less when using only arterial tortuosity and 85% or less using a 2- to 3-disc diameter view similar to the standard published photograph. Diagnostic accuracy of the i-ROP system (95%) was comparable to that of 11 expert physicians (mean 87%, range 79%-99%).

CONCLUSIONS AND RELEVANCE

Experts in ROP appear to consider findings from beyond the posterior retina when diagnosing plus disease and consider tortuosity of both arteries and veins, in contrast with published definitions. It is feasible for a computer-based image analysis system to perform comparably with ROP experts, using manually segmented images.

摘要

重要性

早产儿视网膜病变(ROP)中已有文献对“Plus 病”的定义,主要基于后极部的动脉迂曲和静脉扩张。然而,这种标准定义可能会使专家在诊断“Plus 病”时出现偏差,从而导致该疾病的专家间诊断一致性较差。

目的

通过定量图像分析,确定专家用于诊断“Plus 病”的血管特征。

设计、地点和参与者:利用一组 77 张眼底数字图像,开发了一种基于计算机的图像分析系统(ROP 的成像和信息学[I-ROP]),该系统旨在与参考标准诊断(RSD)比较,对图像进行分类。系统性能作为视野(半径为 1-6 个视盘直径的圆形裁剪)和血管亚型(仅动脉、仅静脉或所有血管)的函数进行分析。2011 年 6 月 29 日至 2014 年 10 月 14 日,在 8 所学术机构的新生儿重症监护病房进行了常规 ROP 筛查,并对 73 张图像进行了子集分析,由 11 名 ROP 专家独立分类进行验证。RSD 与专家的多数诊断进行了比较。

主要结果和措施

主要结果指标为 i-ROP 系统分类“Plus 病”的准确率,以视野和血管类型为函数。次要结果指标包括 11 位专家与 RSD 相比的准确率。

结果

当 i-ROP 计算机系统结合了动脉和静脉的血管迂曲并使用最宽的视野(6 个视盘直径半径)时,“Plus 病”的诊断准确率最高(95%;95%CI,94%-95%)。仅使用动脉迂曲时,准确率为 90%或更低,使用类似于已发表标准照片的 2-3 个视盘直径的视野时,准确率为 85%或更低。i-ROP 系统(95%)的诊断准确性与 11 位专家医生相当(平均 87%,范围 79%-99%)。

结论和相关性

ROP 专家在诊断“Plus 病”时,似乎会考虑到后极部以外的视网膜的发现,并且会考虑到动脉和静脉的迂曲,这与已发表的定义不同。使用手动分割的图像,基于计算机的图像分析系统可以与 ROP 专家进行类似的比较,这是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0f5/5201139/da342553f1e6/nihms836986f1.jpg

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