Corneal-thickness spatial profile and corneal-volume distribution: Tomographic indices to detect keratoconus

圆锥角膜 角膜 眼科 体积热力学 角膜地形图 材料科学 医学 数学 光学 物理 量子力学
作者
Renato Ambrósio,Ruiz Simonato Alonso,Allan Luz,Luís Guillermo Coca Velarde
出处
期刊:Journal of Cataract and Refractive Surgery [Ovid Technologies (Wolters Kluwer)]
卷期号:32 (11): 1851-1859 被引量:435
标识
DOI:10.1016/j.jcrs.2006.06.025
摘要

In Brief PURPOSE: To evaluate whether the corneal-thickness spatial profile and corneal-volume distribution differentiate keratoconic corneas from normal corneas using new tomography parameters. SETTING: Subspecialty cornea and refractive practice, Fluminense Federal University, Rio de Janeiro, Brazil. METHODS: Forty-six eyes diagnosed with mild to moderate keratoconus and 364 normal eyes were studied by the Pentacam Comprehensive Eye Scanner. Corneal thickness at the thinnest point and the averages of the points on 22 imaginary circles centered on the thinnest point with increased diameters at 0.4 mm steps were calculated to create a corneal-thickness spatial profile. Corneal volume was calculated within diameters from 1.0 to 7.0 mm with 0.5 mm steps centered on the thinnest point to create the corneal-volume distribution. The percentage increase in thickness and the percentage increase in volume were calculated for each position of the corneal-thickness spatial profile and corneal-volume distribution from their first value. Statistical analysis was done using the Wilcoxon 2-independent-sample test to compare mean levels using S-Plus-4.0 software (MathSoft) and a normal linear model under a Bayesian frame for estimating the mean variation in thickness and volume using the BUGS 0.6 package. RESULTS: Statistically significant differences were observed between the groups (P<.05) in all positions of corneal-thickness spatial profile and corneal-volume distribution and in the percentage increase in thickness and percentage increase in volume between 3.5 mm and 7.0 mm diameters. CONCLUSIONS: Corneal-thickness spatial profile, corneal-volume distribution, percentage increase in thickness, and percentage increase in volume were different between keratoconic corneas and normal corneas and could serve as indices to diagnose keratoconus and screen refractive candidates. Further studies are necessary to evaluate whether these tomographic indices are more sensitive and specific than the classic Placido-based topography. Corneal pachymetric spatial profile and corneal-volume distribution were effective parameters in studying corneal architecture that differentiate keratoconic corneas from normal corneas.
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