Rothschild Foundation, Paris, France.
Invest Ophthalmol Vis Sci. 2010 Nov;51(11):5546-55. doi: 10.1167/iovs.10-5369. Epub 2010 Jun 16.
To investigate the efficacy of topography and tomography indices combined in discriminant functions to detect mild ectatic corneas.
The authors retrospectively reviewed the data of 143 eyes separated into three groups by the Corneal Navigator OPD scanning system (Nidek, Gamagori, Japan): normal (N; LASIK surgery with a 2-year follow-up; n = 72), forme fruste keratoconus (N topography with contralateral KC; FFKC; n = 40), and KC (n = 31). Topography and tomography indices, corneal thickness spatial profile (CTSP), and anterior and posterior curvature spatial profiles were obtained with the Orbscan IIz (Bausch & Lomb Surgical, Rochester, NY). The percentage of thickness increase (PTI) from the thinnest point to the periphery, the percentage of variation of anterior (PVAK), and posterior curvature were calculated and compared by Kruskal-Wallis test. The usefulness of these data to discriminate among the three groups was assessed by receiver operating characteristic (ROC) curve analysis.
Posterior elevation of the thinnest point (TP), all positions of CTSP, PTI for all distances from the TP, and PVAK from a 5- to 7-mm distance from the TP were significantly different in the FFKC compared with the N group. The discriminant functions between the FFKC and the N groups and between the KC and the N groups reached an area under the ROC curve of 0.98 and 0.99, respectively. PTI indices and maximum posterior central elevation were the most important contributors to the discriminant function.
Indices generated from corneal thickness and curvature measurements over the entire cornea centered on the TP can identify very mild forms of ectasia undetected by a Placido-based neural network program.
研究地形和断层指标相结合的判别函数在检测轻度扩张角膜中的疗效。
作者回顾性分析了 143 只眼的资料,这些眼根据角膜导航 OPD 扫描系统(日本尼德克公司)分为三组:正常组(LASIK 手术后 2 年随访;n=72)、拟态性圆锥角膜(N 地形图伴对侧 KC;FFKC;n=40)和 KC 组(n=31)。用 Orbscan IIz(美国罗切斯特的 Bausch & Lomb Surgical)获得地形和断层指标、角膜厚度空间分布(CTSP)以及前、后曲率空间分布。从最薄点到周边计算厚度增加百分比(PTI)、前曲率(PVAK)和后曲率的变异百分比,并通过 Kruskal-Wallis 检验进行比较。通过受试者工作特征(ROC)曲线分析评估这些数据区分三组的有用性。
与正常组相比,FFKC 组的最薄点(TP)后高、CTSP 的所有位置、TP 到各距离的 PTI 以及 5-7mm 距离处的 PVAK 均显著不同。FFKC 与正常组、KC 与正常组之间的判别函数的 ROC 曲线下面积分别达到 0.98 和 0.99。PTI 指数和最大后中央隆起是判别函数的最重要贡献者。
以 TP 为中心的整个角膜厚度和曲率测量生成的指数可以识别 Placido 神经网络程序未检测到的非常轻度的扩张。