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Evaluating Corneal Fluorescein Staining Using a Novel Automated Method

机译:使用新型自动化方法评估角膜荧光素染色

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Purpose: To evaluate interobserver concordance in measured corneal fluorescein staining (CFS) using the National Eye Institute/Industry (NEI) grading scale and the Corneal Fluorescein Staining Index (CFSi), a computer-assisted, objective, centesimal scoring system. Methods: We conducted a study to evaluate CFS in clinical photographs of patients with corneal epitheliopathy. One group of clinicians graded CFS in the images using the NEI while a second group applied the CFSi. We evaluated the level of interobserver agreement and differences among CFS scores with each method, level of correlation between the two methods, and distribution of cases based on the CFS severity assigned by each method. Results: The level of interobserver agreement was 0.65 (P 0.001) with the NEI, and 0.99 (P 0.001) with the CFSi. There were statistically significant differences among clinicians' measurements obtained with the NEI (P 0.001), but not with the CFSi (P = 0.78). There was a statistically significant correlation between the CFS scores obtained with the two methods (R = 0.72; P 0.001). The NEI scale allocated the majority of cases (65%) within the higher quartile in the scale's severity (12a??15/15). In contrast, the CFSi allocated the majority of cases (61%) within the lower quartile in the scale's severity (0a??25/100). Conclusions: The CFSi is easy to implement, provides higher interobserver consistency, and due to its continuous score can discriminate smaller differences in CFS. Reproducibility of the computer-based system is higher and, interestingly, the system allocates cases of epitheliopathy in different severity categories than clinicians do. The CFSi can be an alternative for objective CFS evaluation in the clinic and in clinical trials.
机译:目的:使用国家眼科学院/行业(NEI)分级量表和角膜荧光素染色指数(CFSi),一种计算机辅助的客观百分位数评分系统,评估观察者在测量角膜荧光素染色(CFS)中的一致性。方法:我们进行了一项研究,以评估角膜上皮病患者的临床照片中的CFS。一组临床医生使用NEI对图像中的CFS进行分级,而另一组则应用CFSi。我们根据每种方法分配的CFS严重性,评估了观察员之间的共识水平和每种方法的CFS评分之间的差异,两种方法之间的相关性水平以及病例分布。结果:NEI的观察者间一致性水平为0.65(P <0.001),而CFSi的观察者间一致性水平为0.99(P <0.001)。 NEI(P <0.001),而CFSi(P = 0.78)所获得的临床医生测量结果之间存在统计学上的显着差异。两种方法获得的CFS评分之间存在统计学上的显着相关性(R = 0.72; P <0.001)。 NEI量表在严重程度较高的级别(12a ?? 15/15)中分配了大部分病例(65%)。相比之下,CFSi在量表的严重程度(0a ?? 25/100)的较低四分位数中分配了大多数病例(61%)。结论:CFSi易于实施,提供了更高的观察者间一致性,并且由于其连续得分可以区分CFS较小的差异。基于计算机的系统的可重复性更高,有趣的是,该系统与临床医生相比,将上皮病变病例分配给不同严重程度类别。 CFSi可以替代临床和临床试验中的客观CFS评估。

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