Belghith Akram, Bowd Christopher, Medeiros Felipe A, Hammel Naama, Yang Zhiyong, Weinreb Robert N, Zangwill Linda M
Invest Ophthalmol Vis Sci. 2016 Feb;57(2):675-82. doi: 10.1167/iovs.15-17671.
We determined if the Bruch's membrane opening (BMO) location changes over time in healthy eyes and eyes with progressing glaucoma, and validated an automated segmentation algorithm for identifying the BMO in Cirrus high-definition coherence tomography (HD-OCT) images.
We followed 95 eyes (35 progressing glaucoma and 60 healthy) for an average of 3.7 ± 1.1 years. A stable group of 50 eyes had repeated tests over a short period. In each B-scan of the stable group, the BMO points were delineated manually and automatically to assess the reproducibility of both segmentation methods. Moreover, the BMO location variation over time was assessed longitudinally on the aligned images in 3D space point by point in x, y, and z directions.
Mean visual field mean deviation at baseline of the progressing glaucoma group was -7.7 dB. Mixed-effects models revealed small nonsignificant changes in BMO location over time for all directions in healthy eyes (the smallest P value was 0.39) and in the progressing glaucoma eyes (the smallest P value was 0.30). In the stable group, the overall intervisit-intraclass correlation coefficient (ICC) and coefficient of variation (CV) were 98.4% and 2.1%, respectively, for the manual segmentation and 98.1% and 1.9%, respectively, for the automated algorithm.
Bruch's membrane opening location was stable in normal and progressing glaucoma eyes with follow-up between 3 and 4 years indicating that it can be used as reference point in monitoring glaucoma progression. The BMO location estimation with Cirrus HD-OCT using manual and automated segmentation showed excellent reproducibility.
我们确定了在健康眼睛和青光眼进展期眼睛中，布鲁赫膜开口（BMO）位置是否随时间变化，并验证了一种用于在Cirrus高清相干断层扫描（HD-OCT）图像中识别BMO的自动分割算法。
我们对95只眼睛（35只青光眼进展期眼睛和60只健康眼睛）进行了平均3.7±1.1年的随访。一组50只稳定的眼睛在短时间内进行了重复测试。在稳定组的每次B扫描中，手动和自动勾勒出BMO点，以评估两种分割方法的可重复性。此外，在3D空间中，在对齐图像上逐点在x、y和z方向上纵向评估BMO位置随时间的变化。
青光眼进展期组基线时的平均视野平均偏差为-7.7 dB。混合效应模型显示，健康眼睛（最小P值为0.39）和青光眼进展期眼睛（最小P值为0.30）在所有方向上BMO位置随时间的变化均较小且无统计学意义。在稳定组中，手动分割的总体访间组内相关系数（ICC）和变异系数（CV）分别为98.4%和2.1%，自动算法分别为98.1%和1.9%。
在随访3至4年的正常和青光眼进展期眼睛中，布鲁赫膜开口位置稳定，表明它可作为监测青光眼进展的参考点。使用手动和自动分割的Cirrus HD-OCT对BMO位置的估计显示出极好的可重复性。
