Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.
Eye (Lond). 2011 Apr;25(4):511-8. doi: 10.1038/eye.2010.216. Epub 2011 Feb 4.
To compare retinal thickness (RT) measurement and segmentation performance of time domain (TD, Stratus) and spectral domain (SD) optical coherence tomography (OCT) devices (Cirrus, Spectralis) for imaging macular oedema (ME) secondary to branch retinal vein occlusion (BRVO).
In this study, 20 eyes of 20 consecutive patients with acute BRVO were included. A total of 18 unaffected fellow eyes served as control group. RT measurement was analysed in the five inner fields of the early-treatment diabetic retinopathy grid, and proportional segmentation errors were evaluated.
Central millimetre thickness (CMT) showed a mean difference of -64, -74, and -18 μm (P < 0.001) in the control group and -31 μm (P=0.107), -92 μm (P<0.001), and -105 μm (P=0.016) in the BRVO group, between Stratus and Cirrus, between Stratus and Spectralis, and between Cirrus and Spectralis, respectively. Mean RT showed the highest variability between different devices in the area most intensively affected by BRVO-related ME. In eyes with BRVO, 14.6% of Spectralis, 20% of Stratus, and 36.6% of Cirrus scans demonstrated moderate and severe segmentation errors.
RT measurement in eyes with BRVO, by TD and SD OCT, is compromised by a significant rate of segmentation errors. Deviations are most pronounced in the areas most severely affected by ME.
比较时域(Stratus)和频域(Cirrus、Spectralis)光学相干断层扫描(OCT)设备测量和分割视网膜静脉阻塞(BRVO)继发黄斑水肿(ME)的视网膜厚度(RT)的性能。
本研究纳入了 20 例 BRVO 急性发作患者的 20 只眼。共 18 只未受影响的对侧眼作为对照组。在早期糖尿病视网膜病变网格的 5 个内域中分析 RT 测量值,并评估比例分割误差。
对照组中央毫米厚度(CMT)在 Stratus 和 Cirrus、Stratus 和 Spectralis、Cirrus 和 Spectralis 之间的平均差异分别为-64、-74 和-18μm(P<0.001)和-31μm(P=0.107)、-92μm(P<0.001)和-105μm(P=0.016)。BRVO 组的 CMT 分别为-31μm(P=0.107)、-92μm(P<0.001)和-105μm(P=0.016)。在受 BRVO 相关 ME 影响最严重的区域,不同设备之间的平均 RT 显示出最高的变异性。在 BRVO 眼中,Spectralis 有 14.6%、Stratus 有 20%和 Cirrus 有 36.6%的扫描显示中度和重度分割错误。
TD 和 SD-OCT 测量 BRVO 眼的 RT 受到严重比例分割错误的影响。偏差在 ME 最严重的区域最为明显。