University of Houston College of Optometry, Houston, Texas, USA.
Invest Ophthalmol Vis Sci. 2012 Dec 19;53(13):8378-85. doi: 10.1167/iovs.12-9940.
To quantify repeatability and reproducibility of thickness measurements and the effects of realignment and image quality on measurements of retinal thickness from optical coherence tomographic (OCT) imaging in the rat eye.
Retinal imaging was performed in 16 brown norway rats (N = 16 EYES; X = 372 G). Precision metrics: 95% limits of agreement (LoA), intraclass correlation coefficient (ICC), and the coefficient of variation (CV), were calculated using manual and combined manual + automated realignment procedures for nerve fiber and retinal ganglion cell layer (NFL/GCL), NFL/GCL and inner plexiform layer (NFL/GCL + IPL), and total retina thicknesses (excluding blood vessels). The influence of image quality on NFL thickness measurement was assessed by comparing high- and low-quality image data (real and simulated) from the rat as well as clinical data.
Mean NFL/GCL thickness was 26 3 M, NFL/GCL + IPL thickness was 70 3 M, AND total retinal thickness was 192 7 M. Thickness difference between imaging sessions for NFL/GCL was 1 M (95% LOA: -4 to 3 μm; ICC = 0.82; CV = 4.7%), for NFL/GCL + IPL was 0 μm (95% LoA: -4 to 4 μm; ICC = 0.88; CV = 1.4%), and total retinal thickness was 1 μm (95% LoA: -3 to 4 μm; ICC = 0.97; CV = 0.7%). Thickness differences were similar between realignment procedures (NFL/GCL: P = 0.43; NFL/GCL + IPL: P = 0.33; total retina: P = 0.62). Although NFL thickness measurements increased slightly in low-quality rat images (4 μm; P = 0.04), this was not true with clinical images (1.4 μm; P = 0.36).
Precision of retinal layer thickness estimation from OCT imaging is excellent when manual and automated realignment procedures are combined, but may still be influenced by image quality and segmentation methods.
定量测量视网膜厚度的重复性和再现性,以及重新定位和图像质量对大鼠眼光学相干断层扫描(OCT)成像中视网膜厚度测量的影响。
对 16 只棕色挪威大鼠(N=16 只眼;X=372 只)进行视网膜成像。使用手动和手动+自动重新定位程序,计算神经纤维和神经节细胞层(NFL/GCL)、NFL/GCL 和内丛状层(NFL/GCL+IPL)以及总视网膜厚度(不包括血管)的 95%一致性界限(LoA)、组内相关系数(ICC)和变异系数(CV)等精度指标。通过比较大鼠以及临床数据的高质量和低质量图像数据(真实和模拟)来评估图像质量对 NFL 厚度测量的影响。
NFL/GCL 平均厚度为 26.3μm,NFL/GCL+IPL 厚度为 70.3μm,总视网膜厚度为 192.7μm。NFL/GCL 两次成像之间的厚度差异为 1μm(95%LoA:-4 至 3μm;ICC=0.82;CV=4.7%),NFL/GCL+IPL 为 0μm(95%LoA:-4 至 4μm;ICC=0.88;CV=1.4%),总视网膜厚度为 1μm(95%LoA:-3 至 4μm;ICC=0.97;CV=0.7%)。两种重新定位程序的厚度差异相似(NFL/GCL:P=0.43;NFL/GCL+IPL:P=0.33;总视网膜:P=0.62)。虽然大鼠低质量图像中的 NFL 厚度测量值略有增加(4μm;P=0.04),但临床图像并非如此(1.4μm;P=0.36)。
当手动和自动重新定位程序相结合时,OCT 成像中视网膜层厚度估计的精度非常好,但仍可能受到图像质量和分割方法的影响。