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OPI 2.0系统的验证与核实

Validation and verification of the OPI 2.0 System.

作者信息

Abelson Richard, Lane Keith J, Rodriguez John, Johnston Patrick, Angjeli Endri, Ousler George, Montgomery Douglas

机构信息

School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ.

出版信息

Clin Ophthalmol. 2012;6:613-22. doi: 10.2147/OPTH.S29431. Epub 2012 Apr 24.

Abstract

PURPOSE

The Ocular Protection Index (OPI) 2.0 System was developed to evaluate ocular surface protection under a natural blink pattern and normal visual conditions. The OPI 2.0 System implements fully automated software algorithms which provide a real-time measurement of corneal exposure (breakup area) for each interblink interval during a 1-minute video. Utilizing this method, the mean breakup area (MBA) and OPI 2.0 (MBA/interblink interval) were calculated and analyzed. The purpose of this study was to verify and validate the OPI 2.0 System for its ability to distinguish between dry eye and normal subjects, and to accurately identify breakup area.

METHODS

In order to verify and validate the OPI 2.0 System, a series of artificial images and a series of still image frames captured during an actual clinical session using fluorescein staining videography were analyzed. Finally, a clinical validation process was completed to determine the effectiveness and clinical relevance of the OPI 2.0 System to differentiate between dry eye and normal subjects.

RESULTS

Software analysis verification conducted in a set of artificially constructed images and in actual videos both saw minimal error rates. MBA and OPI 2.0 calculations were able to distinguish between the qualifying eyes of dry eye and normal subjects in a statistically significant fashion (P < 0.001 for both outcomes). As expected, dry eye subjects had a higher MBA and OPI 2.0 than normal subjects (0.232, dry eye; 0.040, normal and 0.039, dry eye; 0.006, normal, respectively). Results for the worst eyes and all qualifying analyses based on staining, forced-stare tear film breakup time, and MBA were numerically similar.

CONCLUSION

The OPI 2.0 System accurately identifies the degree of breakup area on the cornea and represents an efficient, clinically relevant measurement of the pathophysiology of the ocular surface.

摘要

目的

开发眼保护指数(OPI)2.0系统以评估自然眨眼模式和正常视觉条件下的眼表保护情况。OPI 2.0系统采用全自动化软件算法,可在1分钟视频的每个眨眼间隔实时测量角膜暴露(破裂面积)。利用该方法,计算并分析了平均破裂面积(MBA)和OPI 2.0(MBA/眨眼间隔)。本研究的目的是验证OPI 2.0系统区分干眼和正常受试者的能力,以及准确识别破裂面积的能力。

方法

为了验证OPI 2.0系统,分析了一系列人工图像以及在实际临床过程中使用荧光素染色摄像捕获的一系列静态图像帧。最后,完成了临床验证过程,以确定OPI 2.0系统区分干眼和正常受试者的有效性及临床相关性。

结果

在一组人工构建的图像和实际视频中进行的软件分析验证的错误率均极低。MBA和OPI 2.0计算能够以具有统计学意义的方式区分干眼和正常受试者的合格眼睛(两种结果的P均<0.001)。正如预期的那样,干眼受试者的MBA和OPI 2.0高于正常受试者(分别为0.232,干眼;0.040,正常和0.039,干眼;0.006,正常)。基于染色、强迫凝视泪膜破裂时间和MBA的最差眼睛及所有合格分析的结果在数值上相似。

结论

OPI 2.0系统能准确识别角膜上的破裂面积程度,代表了一种对眼表病理生理学有效且与临床相关的测量方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/800e/3346187/8145cdbf700f/opth-6-613f1.jpg

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