Sasongko Muhammad Bayu, Hodgson Lauren A B, Wong Tien Y, Kawasaki Ryo, Cheung Carol Y, Hsu Wynne, Lee Mong Li, Lau Peter Q F, Mitchell Paul, Wang Jie Jin
Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Australia.
Ophthalmic Epidemiol. 2012 Oct;19(5):322-7. doi: 10.3109/09286586.2012.702258.
To assess the correlation and reproducibility of retinal vascular geometric measurements obtained from two stereo-paired fundus images.
Thirty stereoscopic pairs of color optic disc-centered photographs from the Blue Mountains Eye Study were analyzed. Side-by-side grading was performed by a single grader, using semi-automated computer software to quantify the following retinal geometric parameters: (1) retinal arteriolar/venular caliber (CRAE/CRVE); (2) arteriole-to-venule ratio (AVR); (3) branching angle; and (4) tortuosity. We used Pearson correlation (r), intra-class correlation coefficient (ICC), and Bland-Altman plots to assess within-pair correlation and reproducibility for each parameter measured.
Inter- and intra-grader r and ICC were high (all r > 0.90 and ICC > 0.90), except for branching angle (ICCs between 0.69-0.83). There was no significant difference between within-pair means of all retinal vascular geometric parameters, before and after excluding poor quality images. CRAE, CRVE, AVR, and arteriolar and venular tortuosity showed very high within-pair correlation and agreement (all r > 0.80 and all ICC > 0.90 respectively). Arteriolar and venular branching angles demonstrated moderate within-pair correlation (r = 0.65 and r = 0.62, respectively) and within-pair agreement (ICC = 0.76 and ICC = 0.77, respectively).
Use of computer-assisted software to measure retinal vascular geometric parameters from paired fundus images was highly repeatable and is robust to differences in photographic angles of paired stereo images. Such measurements can be applied to evaluate temporal changes in longitudinal studies.
评估从两张立体配对眼底图像获得的视网膜血管几何测量值的相关性和可重复性。
分析了来自蓝山眼研究的30对以视盘为中心的立体彩色照片。由一名分级员使用半自动计算机软件进行并排分级,以量化以下视网膜几何参数:(1)视网膜小动脉/小静脉管径(CRAE/CRVE);(2)动静脉比(AVR);(3)分支角度;(4)迂曲度。我们使用Pearson相关性(r)、组内相关系数(ICC)和Bland-Altman图来评估所测量的每个参数的配对内相关性和可重复性。
分级员之间和分级员内部的r和ICC都很高(所有r>0.90且ICC>0.90),除了分支角度(ICC在0.69 - 0.83之间)。在排除质量差的图像之前和之后,所有视网膜血管几何参数的配对内均值之间没有显著差异。CRAE、CRVE、AVR以及小动脉和小静脉迂曲度显示出非常高的配对内相关性和一致性(分别为所有r>0.80和所有ICC>0.90)。小动脉和小静脉分支角度显示出中等程度的配对内相关性(分别为r = 0.65和r = 0.62)和配对内一致性(分别为ICC = 0.76和ICC = 0.77)。
使用计算机辅助软件从配对眼底图像测量视网膜血管几何参数具有高度可重复性,并且对配对立体图像的拍摄角度差异具有鲁棒性。此类测量可应用于纵向研究中评估时间变化。