Reproducibility of retinal nerve fiber layer thickness measurements using spectral domain optical coherence tomography

利用光谱域光学相干断层扫描技术测量视网膜神经纤维层厚度的可重复性

阅读:1

Abstract

PURPOSE: To evaluate the reproducibility of the peripapillary retinal nerve fiber layer (RNFL) thickness measurements obtained by Spectralis spectral domain optical coherence tomography (OCT) (Heidelberg Engineering, Heidelberg, Germany) in normal and glaucoma participants. METHODS: Participants were recruited from a university-based clinic. Peripapillary RNFL thickness measurements were repeated 3 times during the same visit using the follow-up function. One eye of each participant was randomly selected for statistical analysis. Reproducibility was evaluated using within-subject standard deviation (Sw), coefficient of variation (CV), and intraclass correlation coefficient (ICC). Spearman rank correlation coefficient analyses were used to assess the correlation of the standard deviation of the 3 measurements for each participant with the RNFL thickness value. RESULTS: Forty-five normal participants and 33 glaucoma patients were included in the study. The CVs ranged from 1.45% [overall global (G)] to 2.59% [temporal quadrant (T)] in normal eyes and from 1.74% (G) to 3.22% (T) in the glaucomatous eyes. ICCs ranged from 0.977 (T) to 0.990 (G and inferior-nasal sector) in normal eyes and from 0.983 (T) to 0.997 (inferior quadrant) in glaucomatous eyes. Sw were from 1.34 μm (G) to 2.39 μm (superior-temporal and inferior-temporal sectors) in normal eyes and from 1.14 μm (G) to 2.25 μm (superior-nasal sector) in the glaucomatous eyes. There were no significant correlations between RNFL thickness values and the measurement variability for each participant. CONCLUSIONS: Spectralis OCT shows excellent reproducibility for measuring the peripapillary RNFL thickness values in both healthy and glaucoma participants.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。