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首页> 外文期刊>BMC Ophthalmology >Estimation of axial curvature of anterior sclera: correlation between axial length and anterior scleral curvature as affected by angle kappa
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Estimation of axial curvature of anterior sclera: correlation between axial length and anterior scleral curvature as affected by angle kappa

机译：前巩膜轴向曲率的估计：受角卡伯影响的轴向长度和前巩膜曲率之间的相关性

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?Background Though the development and fitting of scleral contact lenses are expanding steadily, there is ?no simple method to provide scleral metrics for scleral contact lens fitting yet. The aim of this study was to establish formulae for estimation of the axial radius of curvature (ARC) of the anterior sclera using ocular biometric parameters that can be easily obtained with conventional devices. Methods A semi-automated stitching method and a computational analysis tool for calculating ARC were developed by using the ImageJ and MATLAB software. The ARC of all the ocular surface points were analyzed from the composite horizontal cross-sectional images of the right eyes of 24 volunteers; these measurements were obtained using anterior segment optical coherence tomography for a previous study (AS-OCT; Visante). Ocular biometric parameters were obtained from the same volunteers with slit-scanning topography and partial coherence interferometry. Correlation analysis was performed between the ARC at 8?mm to the axis line (ARC[8]) and other ocular parameters (including age). With ARC obtained on several nasal and temporal points (7.0, 7.5, 8.0, 8.5, and 9.0?mm from the axis line), univariate and multivariate linear regression analyses were performed to develop a model for estimating ARC with the help of ocular biometric parameters. Results Axial length, spherical equivalent, and angle kappa showed correlations with temporal ARC[8] (tARC[8]; Pearson’s r =?0.653, ?0.579, and ?0.341; P =?0.001, 0.015, and 0.015, respectively). White-to-white corneal diameter (WTW) and anterior chamber depth (ACD) showed correlation with nasal ARC[8] (nARC[8]; Pearson’s r =??0.492 and ?0.461; P =?0.015 and 0.023, respectively). The formulae for estimating scleral curvatures (tARC, nARC, and average ARC) were developed as a function of axial length, ACD, WTW, and distance from the axis line, with good determinant power (72???80?%; SPSS ver. 22.0). Angle kappa showed strong correlation with axial length (Pearson’s r =??0.813, P Conclusions Axial length, ACD, and WTW are useful parameters for estimating the ARC of the anterior sclera, which is important for the haptic design of scleral contact lenses. Angle kappa affects the discrepancies between the nasal and temporal scleral curvature.
机译：背景技术尽管巩膜隐形眼镜的开发和验配稳步增长，但还没有简单的方法来提供巩膜隐形眼镜验配的巩膜量度。这项研究的目的是建立使用眼部生物特征参数估算前巩膜轴向曲率半径（ARC）的公式，这些参数可以通过常规设备轻松获得。方法利用ImageJ和MATLAB软件开发了一种半自动拼接方法和一种计算ARC的计算分析工具。从24名志愿者的右眼合成水平横截面图像分析了所有眼表点的ARC;这些测量结果是使用前段光学相干断层扫描进行的先前研究（AS-OCT; Visante）。眼部生物统计参数是从相同的志愿者那里获得的，它们具有狭缝扫描形貌和部分相干干涉测量法。在距离轴线8？mm的ARC（ARC [8]）和其他眼参数（包括年龄）之间进行了相关分析。在从几个鼻和颞点（距轴线7.0、7.5、8.0、8.5和9.0？mm）获得ARC的情况下，进行了单变量和多元线性回归分析，以借助眼部生物特征参数开发出估算ARC的模型。结果轴长，球当量和角kappa与时间性ARC相关[tARC [8]; Pearson's r =？0.653，？0.579和？0.341; P =？0.001、0.015和0.015）。白人至白人角膜直径（WTW）和前房深度（ACD）与鼻ARC [8]相关（nARC [8]; Pearson's r分别为0.492和0.461; P = 0.015和0.023）。 。开发了用于估计巩膜曲率的公式（tARC，nARC和平均ARC），该公式是轴向长度，ACD，WTW和距轴线的距离的函数，具有良好的确定力（72％≥80％; SPSS ver 22.0）。角κ显示出与轴向长度的强相关性（Pearson's r = ?? 0.813，P结论轴向长度，ACD和WTW是估计前巩膜ARC的有用参数，这对于巩膜接触镜的触觉设计很重要。 κ影响鼻和颞巩膜曲率之间的差异。

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