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

被引:29
|
作者
Steinberg, Johannes [1 ,2 ,3 ]
Casagrande, Maria K. [1 ]
Frings, Andreas [1 ]
Katz, Toam [1 ,3 ]
Druchkiv, Vasyl [1 ]
Richard, Gisbert [1 ]
Linke, Stephan J. [1 ,2 ,3 ]
机构
[1] Univ Med Ctr Hamburg Eppendorf UKE, Dept Ophthalmol, Hamburg, Germany
[2] Zentrumsehstarke, Hamburg, Germany
[3] CareVision, Hamburg, Germany
关键词
subclinical keratoconus; swept-source optical coherence tomography; corneal topography; keratoconus classification; FORME-FRUSTE KERATOCONUS; POSTERIOR CORNEAL ELEVATION; KISA-PERCENT INDEX; DIAGNOSING KERATOCONUS; THICKNESS; SYSTEM; EYES; VIDEOKERATOGRAPHY; CLASSIFICATION; ABERRATIONS;
D O I
10.1097/ICO.0000000000000568
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
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.
引用
收藏
页码:1413 / 1419
页数:7
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