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术后 LASIK 角膜扩张术后发生的眼睛术前地形特征。

Preoperative topographic characteristics of eyes that developed postoperative LASIK keratectasia.

机构信息

Department of Ophthalmology, Goethe University, Frankfurt am Main, Germany.

出版信息

J Refract Surg. 2013 Aug;29(8):540-9. doi: 10.3928/1081597X-20130719-04.

Abstract

PURPOSE

To assess the suitability of corneal anterior and posterior surface aberrations and pachymetry profile data to discriminate between eyes that later developed postoperative LASIK iatrogenic keratectasia and eyes that remained stable.

METHODS

Ten eyes of five patients that later developed iatrogenic keratectasia and 245 control eyes of 245 patients with a stable postoperative LASIK follow-up of 12 months or more were included. Zernike coefficients from anterior and posterior cornea, data from corneal pachymetry profiles, and output values of discriminant functions (input from Zernike coefficients, pachymetry data, and age) were assessed for their usefulness to discriminate between preoperative eyes with iatrogenic keratectasia eyes and controls using receiver operator characteristic (ROC) curve analysis. Furthermore, Randleman Ectasia Risk Scores were calculated for each eye.

RESULTS

Anterior horizontal coma (C3(1)) was the coefficient with highest discriminative ability (area under the ROC curve [AZROC] = 0.819). For posterior coefficients and pachymetry data, AZROC values were lower. Constructing discriminant functions increased AZROC values. The function containing anterior and posterior Zernike coefficients, pachymetry data, and age reached an AZROC of 0.991. The other functions ranged from 0.858 (pachymetry) to 0.981 (anterior and posterior Zernike coefficients and age). With the Randleman Ectasia Risk Scores, 80.4% were classified correctly if eyes with 4 points or more were excluded from treatment (87.1% for 3 points or more).

CONCLUSIONS

Preoperative corneal topographic characteristics of eyes that developed iatrogenic keratectasia were different than those of eyes that remained stable. However, topography patterns were not identical with those found in eyes with subclinical keratoconus in previous studies. Discriminant functions from Zernike coefficients and pachymetry data were useful to discriminate between normal eyes and eyes with preoperative iatrogenic keratectasia.

摘要

目的

评估角膜前表面和后表面像差以及角膜厚度剖面图数据,以区分术后 LASIK 医源性角膜扩张的眼和稳定的眼。

方法

纳入 5 例患者的 10 只眼(这些眼后来发生了医源性角膜扩张)和 245 例患者的 245 只眼(这些眼的术后 LASIK 随访时间为 12 个月或更长时间,并且稳定)。使用接收者操作特性(ROC)曲线分析评估角膜前表面和后表面的泽尼克系数、角膜厚度剖面图数据、判别函数的输出值(泽尼克系数、角膜厚度数据和年龄的输入),以评估它们在区分术前医源性角膜扩张眼和对照眼中的有用性。此外,还计算了每只眼的 Randleman 扩张风险评分。

结果

前水平彗差(C3(1))是具有最高判别能力的系数(ROC 曲线下面积 [AZROC] = 0.819)。对于后表面系数和角膜厚度数据,AZROC 值较低。构建判别函数增加了 AZROC 值。包含前表面和后表面泽尼克系数、角膜厚度数据和年龄的函数达到了 0.991 的 AZROC。其他函数的范围从 0.858(角膜厚度)到 0.981(前表面和后表面泽尼克系数和年龄)。使用 Randleman 扩张风险评分,如果将 4 分或更高的眼排除在治疗之外,80.4%的眼可以正确分类(如果将 3 分或更高的眼排除在治疗之外,分类正确的眼占 87.1%)。

结论

发生医源性角膜扩张的眼的术前角膜地形图特征与稳定的眼不同。然而,与以前研究中发现的亚临床圆锥角膜的眼的地形图模式并不完全相同。泽尼克系数和角膜厚度数据的判别函数有助于区分正常眼和术前医源性角膜扩张的眼。

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