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

机译:使用Pentacam使用Zernike多项式检测亚临床圆锥角膜的整个角膜地形图和断层扫描特征

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摘要

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.
机译:这项研究旨在表征整个角膜地形图和断层扫描,以利用Zernike应用方法检测亚临床圆锥角膜(KC)。使用Pentacam HR系统对正常受试者(n = 147,147眼),亚临床KC患者(n = 77,77眼)和KC患者(n = 139,139眼)进行成像。从Pentacam HR软件中导出了整个角膜测厚数据以及前后表面的高度。 Zernike多项式拟合用于量化角膜厚度和表面高程的3D分布。计算每个阶次的均方根(RMS)值和总的高阶不规则度。使用线性步进判别分析,建立了结合了单个索引的多色判别函数。接收器的工作特性曲线确定了诊断的准确性(曲线下的面积,AUC)。在亚临床KC眼中,后表面的三阶RMS(AUC:0.928)获得了最高的识别能力。包含角膜后仰角的Zernike拟合指数的多聚函数显示出最高的判别能力(AUC:0.951)。使用基于Pentacam HR系统的Zernike方法从整个角膜的后表面高程和厚度测量结果生成的指标能够识别非常早的KC。

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