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Characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with Zernike polynomials using Pentacam

The study aimed to characterize the entire corneal topography and tomography for the detection of sub-clinical keratoconus (KC) with a Zernike application method. Normal subjects (n = 147; 147 eyes), sub-clinical KC patients (n = 77; 77 eyes), and KC patients (n = 139; 139 eyes) were imaged with the...

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Autores principales: Xu, Zhe, Li, Weibo, Jiang, Jun, Zhuang, Xiran, Chen, Wei, Peng, Mei, Wang, Jianhua, Lu, Fan, Shen, Meixiao, Wang, Yuanyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705674/
https://www.ncbi.nlm.nih.gov/pubmed/29184086
http://dx.doi.org/10.1038/s41598-017-16568-y
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author Xu, Zhe
Li, Weibo
Jiang, Jun
Zhuang, Xiran
Chen, Wei
Peng, Mei
Wang, Jianhua
Lu, Fan
Shen, Meixiao
Wang, Yuanyuan
author_facet Xu, Zhe
Li, Weibo
Jiang, Jun
Zhuang, Xiran
Chen, Wei
Peng, Mei
Wang, Jianhua
Lu, Fan
Shen, Meixiao
Wang, Yuanyuan
author_sort Xu, Zhe
collection PubMed
description The study aimed to characterize the entire corneal topography and tomography for the detection of sub-clinical keratoconus (KC) with a Zernike application method. Normal subjects (n = 147; 147 eyes), sub-clinical KC patients (n = 77; 77 eyes), and KC patients (n = 139; 139 eyes) were imaged with the Pentacam HR system. The entire corneal data of pachymetry and elevation of both the anterior and posterior surfaces were exported from the Pentacam HR software. Zernike polynomials fitting was used to quantify the 3D distribution of the corneal thickness and surface elevation. The root mean square (RMS) values for each order and the total high-order irregularity were calculated. Multimeric discriminant functions combined with individual indices were built using linear step discriminant analysis. Receiver operating characteristic curves determined the diagnostic accuracy (area under the curve, AUC). The 3rd-order RMS of the posterior surface (AUC: 0.928) obtained the highest discriminating capability in sub-clinical KC eyes. The multimeric function, which consisted of the Zernike fitting indices of corneal posterior elevation, showed the highest discriminant ability (AUC: 0.951). Indices generated from the elevation of posterior surface and thickness measurements over the entire cornea using the Zernike method based on the Pentacam HR system were able to identify very early KC.
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spelling pubmed-57056742017-12-05 Characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with Zernike polynomials using Pentacam Xu, Zhe Li, Weibo Jiang, Jun Zhuang, Xiran Chen, Wei Peng, Mei Wang, Jianhua Lu, Fan Shen, Meixiao Wang, Yuanyuan Sci Rep Article The study aimed to characterize the entire corneal topography and tomography for the detection of sub-clinical keratoconus (KC) with a Zernike application method. Normal subjects (n = 147; 147 eyes), sub-clinical KC patients (n = 77; 77 eyes), and KC patients (n = 139; 139 eyes) were imaged with the Pentacam HR system. The entire corneal data of pachymetry and elevation of both the anterior and posterior surfaces were exported from the Pentacam HR software. Zernike polynomials fitting was used to quantify the 3D distribution of the corneal thickness and surface elevation. The root mean square (RMS) values for each order and the total high-order irregularity were calculated. Multimeric discriminant functions combined with individual indices were built using linear step discriminant analysis. Receiver operating characteristic curves determined the diagnostic accuracy (area under the curve, AUC). The 3rd-order RMS of the posterior surface (AUC: 0.928) obtained the highest discriminating capability in sub-clinical KC eyes. The multimeric function, which consisted of the Zernike fitting indices of corneal posterior elevation, showed the highest discriminant ability (AUC: 0.951). Indices generated from the elevation of posterior surface and thickness measurements over the entire cornea using the Zernike method based on the Pentacam HR system were able to identify very early KC. Nature Publishing Group UK 2017-11-28 /pmc/articles/PMC5705674/ /pubmed/29184086 http://dx.doi.org/10.1038/s41598-017-16568-y Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Xu, Zhe
Li, Weibo
Jiang, Jun
Zhuang, Xiran
Chen, Wei
Peng, Mei
Wang, Jianhua
Lu, Fan
Shen, Meixiao
Wang, Yuanyuan
Characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with Zernike polynomials using Pentacam
title Characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with Zernike polynomials using Pentacam
title_full Characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with Zernike polynomials using Pentacam
title_fullStr Characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with Zernike polynomials using Pentacam
title_full_unstemmed Characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with Zernike polynomials using Pentacam
title_short Characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with Zernike polynomials using Pentacam
title_sort characteristic of entire corneal topography and tomography for the detection of sub-clinical keratoconus with zernike polynomials using pentacam
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705674/
https://www.ncbi.nlm.nih.gov/pubmed/29184086
http://dx.doi.org/10.1038/s41598-017-16568-y
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