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

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Screening for Subclinical Keratoconus Using Swept-Source Fourier Domain Anterior Segment Optical Coherence Tomography. / Steinberg, Johannes; Casagrande, Maria K; Frings, Andreas; Katz, Toam; Druchkiv, Vasyl; Richard, Gisbert; Linke, Stephan J.

In: CORNEA, Vol. 34, No. 11, 11.2015, p. 1413-9.

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@article{63afb93ad1cc49538db15b8a3e7c0642,
title = "Screening for Subclinical Keratoconus Using Swept-Source Fourier Domain Anterior Segment Optical Coherence Tomography",
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.",
author = "Johannes Steinberg and Casagrande, {Maria K} and Andreas Frings and Toam Katz and Vasyl Druchkiv and Gisbert Richard and Linke, {Stephan J}",
year = "2015",
month = nov,
doi = "10.1097/ICO.0000000000000568",
language = "English",
volume = "34",
pages = "1413--9",
journal = "CORNEA",
issn = "0277-3740",
publisher = "Lippincott Williams and Wilkins",
number = "11",

}

RIS

TY - JOUR

T1 - Screening for Subclinical Keratoconus Using Swept-Source Fourier Domain Anterior Segment Optical Coherence Tomography

AU - Steinberg, Johannes

AU - Casagrande, Maria K

AU - Frings, Andreas

AU - Katz, Toam

AU - Druchkiv, Vasyl

AU - Richard, Gisbert

AU - Linke, Stephan J

PY - 2015/11

Y1 - 2015/11

N2 - 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.

AB - 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.

U2 - 10.1097/ICO.0000000000000568

DO - 10.1097/ICO.0000000000000568

M3 - SCORING: Journal article

C2 - 26312618

VL - 34

SP - 1413

EP - 1419

JO - CORNEA

JF - CORNEA

SN - 0277-3740

IS - 11

ER -