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基于眼轴、瞬时、屈光和轮廓差异图的近视眼角膜地形图分类

Corneal topography classification in myopic eyes based on axial, instantaneous, refractive, and profile difference maps.

作者信息

Budak K, Hamed A M, Friedman N J, Koch D D

机构信息

Cullen Eye Institute, Baylor College of Medicine, Department of Ophthalmology, Houston, Texas 77030, USA.

出版信息

J Cataract Refract Surg. 1999 Aug;25(8):1069-79. doi: 10.1016/s0886-3350(99)00130-3.

Abstract

PURPOSE

To refine and develop systems for classifying the topography of myopic corneas using axial, instantaneous, refractive, and profile difference maps.

SETTING

Baylor College of Medicine, Cullen Eye Institute Houston, Texas, USA.

METHODS

Using the EyeSys Corneal Analysis System, computerized videokeratographs of 153 corneas of 78 myopic patients were retrospectively analyzed. Patterns were defined with respect to the mid-dioptric green color. Relationships among pattern types, refractive power, corneal power, corneal uniformity index (CU index), and predicted corneal visual acuity (PC acuity) were calculated.

RESULTS

Six types of patterns for axial, instantaneous, and refractive maps and 3 types of patterns for the profile difference map were defined. For a given cornea, there was a weak correlation among the patterns in the axial, instantaneous, and profile difference maps. The circular with central irregularity pattern in auto-scale refractive maps and the irregular pattern in profile difference maps and axial maps were correlated with lower CU index and PC acuity values. Clinical classification of instantaneous maps did not contribute substantially to the information provided by axial maps.

CONCLUSION

Patterns of computerized videokeratographs varied according to the type of topographic map. The classification systems used provide a baseline for analyzing the response of the cornea to various interventions.

摘要

目的

完善并开发利用轴向、瞬时、屈光和轮廓差异图对近视性角膜地形图进行分类的系统。

设置

美国得克萨斯州休斯敦贝勒医学院卡伦眼科研究所。

方法

使用EyeSys角膜分析系统,对78例近视患者的153只角膜的电脑化视频角膜地形图进行回顾性分析。根据屈光度中间绿色进行模式定义。计算模式类型、屈光力、角膜屈光力、角膜均匀性指数(CU指数)和预测角膜视力(PC视力)之间的关系。

结果

定义了轴向、瞬时和屈光图的6种模式类型以及轮廓差异图的3种模式类型。对于给定的角膜,轴向、瞬时和轮廓差异图中的模式之间存在弱相关性。自动缩放屈光图中的中央不规则圆形模式以及轮廓差异图和轴向图中的不规则模式与较低的CU指数和PC视力值相关。瞬时图的临床分类对轴向图提供的信息贡献不大。

结论

电脑化视频角膜地形图的模式因地形图类型而异。所使用的分类系统为分析角膜对各种干预措施的反应提供了基线。

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