METHODS: To study population between 65-90 years old with no eye diseases. For each subject measurements were performed four times. The intraclass correlation coefficient and the coefficient of variation were calculated to analyze repeatability of the OCTARA automatically generated vessel density measurements.
RESULTS: A total of 35 eyes were included in the study. The intraclass correlation coefficient of the global vessel density in the superficial capillary plexus and the deep capillary plexus were 0.963 and 0.975, respectively, and the coefficient of variation were 5.4% and 4.4%, respectively. The intraclass correlation coefficient of the rest of the global measurements was indicative of good reliability with the exception of the deep choroid layer with an intraclass correlation coefficient of 0.6 indicative of moderate reliability.
CONCLUSIONS: Our results proved excellent repeatability of automated vessel density measurements in the superficial and deep capillary plexus layers in our cohort using a OCTARA algorithm indicating that it may be a reliable diagnostic tool. It also showed good reliability in choriocapillary and mid choroid layer. These findings may be of value in assessing the significance of differences in capillary density measurements over time and across different settings.
方法:研究65-90岁无眼病的人群。对于每个受试者进行四次测量。计算组内相关系数和变异系数以分析OCTARA自动生成的血管密度测量的可重复性。
结果:本研究共纳入35只眼。浅表毛细血管丛和深层毛细血管丛整体血管密度的组内相关系数分别为0.963和0.975,变异系数分别为5.4%和4.4%,分别。其余全局测量值的组内相关系数表明可靠性良好,但深脉络膜层的组内相关系数为0.6,表明可靠性中等。
结论:我们的结果证明,在我们的队列中,使用OCTARA算法在浅层和深层毛细血管丛层中进行自动血管密度测量具有出色的可重复性,这表明它可能是一种可靠的诊断工具。在脉络膜毛细血管和中脉络膜层中也显示出良好的可靠性。这些发现在评估毛细管密度测量随时间和不同设置的差异的显著性方面可能是有价值的。