屈光度
医学
光学相干层析成像
金库(建筑)
Scheimpflug原理
眼科
再现性
有晶状体人工晶状体
核医学
组内相关
光学
角膜
视力
折射误差
物理
数学
工程类
统计
结构工程
作者
I. Almorín-Fernández-Vigo,Inés Sánchez-Guillén,José Ignacio Fernández‐Vigo,Lucía De‐Pablo‐Gómez‐de‐Liaño,Bachar Kudsieh,J.Á. Fernández-Vigo,Ana Macarro‐Merino
标识
DOI:10.1016/j.jfo.2021.03.007
摘要
Summary Purpose To evaluate the agreement between Scheimpflug tomography (Pentacam, Oculus) and anterior segment optical coherence tomography (AS-OCT, RTVue 100, Optovue) as well as the reproducibility of each technique in assessing the lens-ICL distance (vault) after implantable collamer lens (ICL) implantation. Methods The vault was measured manually with Scheimpflug tomography and AS-OCT. Intraclass correlation coefficients (ICC) and Bland-Altman plots were used to determine the reproducibility of measurements and the agreement between them. Multivariate regression analysis was performed to identify predictors of differences in vault measurements between devices. Results 80 eyes of 46 ICL patients were analyzed. Mean patient age was 33.8 ± 7.4 years (range, 21 to 51), and 27 (59%) were women. The preoperative spherical equivalent refraction ranged from −26 to 8.5 diopters (D). The mean vault measured by AS-OCT was 558.8 ± 240.2 μm (range, 162 - 1220) vs. 430.1 ± 215.3 μm (range, 0 to 1070) by Pentacam. AS-OCT yielded vault values, on average, 128.1 ± 64.6 μm higher than the Pentacam (range, −22 to 293 μm). The ICC values for consistency and absolute agreement were 0.960 and 0.928, respectively. Reproducibility of vault measurements was excellent for both devices (ICC≥ 0.946). Four parameters—vault, pupil diameter (PD), PD differences between devices, and preoperative spherical equivalent refraction—were significant predictors of differences in vault measurements (adjusted-R2= 0.412; P Conclusions Agreement between AS-OCT and Pentacam for vault measurement was good. Vaults were higher when measured by AS-OCT. These differences are clinically relevant, and therefore these devices cannot be used interchangeably to measure vault.
科研通智能强力驱动
Strongly Powered by AbleSci AI