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使用角膜形态图对圆锥角膜和隐形眼镜引起的角膜变形进行分析。

Keratoconus and contact lens-induced corneal warpage analysis using the keratomorphic diagram.

作者信息

Smolek M K, Klyce S D, Maeda N

机构信息

Lions Eye Research Laboratories, Louisiana State University Medical Center, New Orleans, Louisiana.

出版信息

Invest Ophthalmol Vis Sci. 1994 Dec;35(13):4192-204.

PMID:8002240
Abstract

PURPOSE

Videokeratography of early keratoconus may be difficult to distinguish from contact lens-induced corneal warpage, even by experienced examiners. Furthermore, topographic irregularity may be judged inconsistently if quantitative standards are not applied. Quantitative measures based on videokeratographic data were developed and evaluated to determine if improved corneal topographic classification can be achieved.

METHODS

The Corneal Irregularity Coefficient (CIC) and Corneal Power Coefficient (CPC) were derived from multiple measures of mean corneal power and its variance for 207 videokeratographs of normal, warped, keratoconus, and keratoconus-suspect corneas. CIC was plotted against CPC, creating a distribution of points representing all maps that tended to be grouped according to surface conditions (the Keratomorphic Diagram). Normal, steep, abnormal, and warped zones were defined by CIC and CPC cutoff values chosen to distinguish normal from keratoconus corneas graphically.

RESULTS

Seventy of 76 normal corneas were grouped in the normal zone and 6 in the steep zone; 84 of 84 keratoconus corneas were grouped in the abnormal zone; 35 of 35 contact lens-induced warpage cases were grouped in the warped zone; and 10 of 12 keratoconus-suspect corneas were grouped in the warped zone, with 2 in the abnormal zone. Serially plotted data of keratoconus progression and warpage regression demonstrated that the vector displacement of CIC and CPC values may provide a potentially useful means of distinguishing contact lens-induced warpage from keratoconus-suspect corneas.

CONCLUSION

The Keratomorphic Diagram aids in classifying and comparing corneal shape by plotting indices along axes with easily recalled scales. The diagram may become a useful tool to assess presurgical corneal surface instability and postoperative progression of corneal shape change due to healing.

摘要

目的

即使是经验丰富的检查者,早期圆锥角膜的视频角膜地形图也可能难以与隐形眼镜引起的角膜变形相区分。此外,如果不应用定量标准,地形不规则性的判断可能会不一致。基于视频角膜地形图数据开发并评估了定量测量方法,以确定是否能实现改进的角膜地形分类。

方法

角膜不规则系数(CIC)和角膜屈光力系数(CPC)源自对207张正常、变形、圆锥角膜和疑似圆锥角膜的视频角膜地形图的平均角膜屈光力及其方差的多次测量。将CIC与CPC绘制在一起,创建一个代表所有地形图的点分布,这些点往往根据表面状况分组(角膜形态图)。通过选择CIC和CPC截止值来定义正常、陡峭、异常和变形区域,以便在图形上区分正常角膜和圆锥角膜。

结果

76只正常角膜中的70只被归为正常区域,6只归为陡峭区域;84只圆锥角膜均被归为异常区域;35例隐形眼镜引起的角膜变形病例均被归为变形区域;12只疑似圆锥角膜中的10只被归为变形区域,2只被归为异常区域。圆锥角膜进展和角膜变形消退的连续绘制数据表明,CIC和CPC值的矢量位移可能提供一种潜在有用的方法,以区分隐形眼镜引起的角膜变形和疑似圆锥角膜。

结论

角膜形态图通过沿着具有易于记忆刻度的轴绘制指数,有助于对角膜形状进行分类和比较。该图可能成为评估术前角膜表面不稳定性和术后因愈合导致的角膜形状变化进展的有用工具。

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