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使用扫频源傅里叶域眼前节光学相干断层扫描技术筛查亚临床圆锥角膜

Screening for Subclinical Keratoconus Using Swept-Source Fourier Domain Anterior Segment Optical Coherence Tomography.

作者信息

Steinberg Johannes, Casagrande Maria K, Frings Andreas, Katz Toam, Druchkiv Vasyl, Richard Gisbert, Linke Stephan J

机构信息

*Department of Ophthalmology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany; †Zentrumsehstärke, Hamburg, Germany; and ‡CareVision, Hamburg, Germany.

出版信息

Cornea. 2015 Nov;34(11):1413-9. doi: 10.1097/ICO.0000000000000568.

Abstract

PURPOSE

To discriminate between subclinical fellow eyes of patients with keratoconus (scKCE) and normal eyes (NE) using swept-source Fourier-domain anterior segment optical coherence tomography (SS-OCT).

SETTING

University Medical Center Hamburg-Eppendorf, Germany.

DESIGN

Retrospective cross-sectional study.

METHODS

NE (both eyes with a KISA% Index <60; N = 213) and scKCE (KISA% Index <60, but an index of >100 in the fellow eye; N = 61) eyes were grouped according to the KISA% Index. Topography and tomography data were obtained by SS-OCT (Casia SS1000) and reviewed retrospectively. Receiver operating characteristics were performed for Casia SS1000 integrated automated parameters and newly computed indices. Additionally, discriminant functions were calculated for the automated single parameters, the computed indices, and the combination of both.

RESULTS

An accuracy ≥0.7 was reached for 28 (8 automated and 20 newly computed parameters) of 785 parameters. Fourier analysis posterior higher-order irregular astigmatism revealed the highest accuracy with 0.81. By combining automated parameters with the newly computed indices in 1 discriminant function, an area under the curve of 0.92 with a corresponding accuracy of 0.85 was achieved.

CONCLUSIONS

SS-OCT is able to discriminate between NE and scKCE with high accuracy. Automated single parameters and newly computed indices were combined to further improve this accuracy.

摘要

目的

使用扫频源傅里叶域眼前节光学相干断层扫描(SS-OCT)鉴别圆锥角膜患者的亚临床对侧眼(scKCE)和正常眼(NE)。

设置

德国汉堡-埃彭多夫大学医学中心。

设计

回顾性横断面研究。

方法

根据KISA%指数对NE(双眼KISA%指数<60;N = 213)和scKCE(KISA%指数<60,但对侧眼指数>100;N = 61)眼进行分组。通过SS-OCT(Casia SS1000)获取地形图和断层扫描数据并进行回顾性分析。对Casia SS1000的综合自动参数和新计算的指数进行受试者操作特征分析。此外,还计算了自动单个参数、计算指数以及两者组合的判别函数。

结果

785个参数中的28个(8个自动参数和20个新计算参数)达到了≥0.7的准确率。傅里叶分析后高阶不规则散光的准确率最高,为0.81。通过在1个判别函数中将自动参数与新计算的指数相结合,获得了曲线下面积为0.92,相应准确率为0.85的结果。

结论

SS-OCT能够高精度地区分NE和scKCE。将自动单个参数和新计算的指数相结合可进一步提高该准确率。

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