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一项使用“ROPtool”对早产儿视网膜病变中的加性病变进行量化的初步研究。

A pilot study using "ROPtool" to quantify plus disease in retinopathy of prematurity.

作者信息

Wallace David K, Zhao Zheen, Freedman Sharon F

机构信息

Department of Ophthalmolology, Duke University School of Medicine, Durham, North Carolina 27710, USA.

出版信息

J AAPOS. 2007 Aug;11(4):381-7. doi: 10.1016/j.jaapos.2007.04.008. Epub 2007 May 29.

Abstract

PURPOSE

The accurate diagnosis of plus disease is critical to optimize the timing of laser treatment. Unfortunately, it is highly subjective and error-prone. "ROPtool" is a computer program that automatically traces retinal blood vessels and measures their tortuosity and dilation. Our aims were to pilot ROPtool, determine its reliability and validity, and establish appropriate numerical thresholds for plus and pre-plus disease.

METHODS

Twenty high-quality images of the posterior poles of premature infants were collected. Two of the authors (DKW and SFF) independently judged tortuosity and dilation separately as plus, pre-plus, or normal for each quadrant of each image. Disagreements were adjudicated, and the results were considered to be the standard for comparison to ROPtool. These two authors then separately used ROPtool to analyze the same 20 images.

RESULTS

For determination of tortuosity sufficient for plus disease, ROPtool interuser agreement was 95% (19/20), compared with 90% (18/20) agreement by investigator judgment. Eye-level (2 MDs x 20 eyes) sensitivity of ROPtool in detecting tortuosity sufficient for plus disease averaged 95% (21/22) and specificity averaged 78% (14/18). Quadrant-level (2 MDs x 20 eyes x 4 quadrants) sensitivity averaged 85% (66/78) and specificity averaged 77% (63/82). A numeric threshold for pre-plus disease equal to 70% of the average tortuosity of the standard photograph of plus disease resulted in mean sensitivity of 89% (103/116) and mean specificity of 82% (36/44) in distinguishing quadrant-level tortuosity sufficient for pre-plus disease or worse from normal.

CONCLUSIONS

ROPtool can reduce subjectivity and thereby enhance the evaluation of plus and pre-plus disease.

摘要

目的

准确诊断附加病变对于优化激光治疗时机至关重要。不幸的是,其诊断具有高度主观性且容易出错。“ROPtool”是一款可自动追踪视网膜血管并测量其迂曲度和扩张程度的计算机程序。我们的目的是试用ROPtool,确定其可靠性和有效性,并为附加病变和前期附加病变建立合适的数值阈值。

方法

收集了20张早产儿后极部的高质量图像。两位作者(DKW和SFF)分别独立地对每张图像的每个象限的迂曲度和扩张程度判断为附加病变、前期附加病变或正常。分歧由第三方裁定,结果被视为与ROPtool进行比较的标准。然后这两位作者分别使用ROPtool分析相同的20张图像。

结果

对于确定足以诊断附加病变的迂曲度,ROPtool的用户间一致性为95%(19/20),而研究者判断的一致性为90%(18/20)。ROPtool在检测足以诊断附加病变的迂曲度时,眼水平(2名医生×20只眼)的敏感性平均为95%(21/22),特异性平均为78%(14/18)。象限水平(2名医生×20只眼×4个象限)的敏感性平均为85%(66/78),特异性平均为77%(63/82)。前期附加病变的数值阈值等于附加病变标准照片平均迂曲度的70%,在区分足以诊断前期附加病变或更严重病变的象限水平迂曲度与正常迂曲度时,平均敏感性为89%(103/116),平均特异性为82%(36/44)。

结论

ROPtool可以减少主观性,从而加强对附加病变和前期附加病变的评估。

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