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Comparison of Point Estimates and Average Thicknesses of Retinal Layers Measured Using Manual Optical Coherence Tomography Segmentation for Quantification of Retinal Neurodegeneration in Multiple Sclerosis

机译:使用手动光学相干断层扫描分段测量定量的视网膜层的点估计和平均厚度的比较,以定量多发性硬化症中的视网膜神经变性

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Purpose: The advent of macular optical coherence tomography (OCT) segmentation has enabled the in vivo quantitative assessment of retinal axonal and neuronal subpopulations. Recent studies employing OCT in multiple sclerosis (MS) have utilized various manual macular segmentation approaches to quantify retinal layer thicknesses. We investigated whether measurements of retinal layers solely at the points of maximal macular thickness (point estimates) within the central macular B-scan are representative of the corresponding average layer thicknesses for the ganglion cell + inner plexiform (GCIP) layers, inner nuclear layer (INL), outer plexiform layer (OPL) and outer nuclear layer (ONL) in MS and healthy controls. Additionally, we examined the correlation of manual segmentation-derived measures of composite layers with average thickness measures derived from automated 3-D segmentation of the macular cube. Materials and Methods: Spectral-domain OCT central macular B-scans of 52 MS patients and 30 healthy controls (HCs) were manually segmented. Average layer thicknesses and layer thicknesses at the points of maximal macular thickness were calculated. Macular cube scans were also segmented utilizing a fully automated 3-D segmentation algorithm. Results: GCIP, INL and OPL maximal thicknesses derived from point estimates correlated well with the average thicknesses of these layers within the central macular B-scan, whereas the ONL maximal thickness did not correlate as strongly. Manual segmentation-derived point estimates and average thickness measures of the GCIP correlated excellently with corresponding automated segmentation-derived measures. MS patients had significantly decreased GCIP maximal and average thicknesses relative to HCs. ONL average thickness was significantly decreased in MS compared to HCs, but this was not true of the ONL maximal thickness. Conclusions: GCIP, INL and OPL maximal layer thicknesses may be used as surrogates to assess the gross structural integrity of these layers in MS, in a time-conservative fashion.
机译:目的:黄斑光学相干断层扫描(OCT)分割技术的出现使得能够对视网膜轴突和神经元亚群进行体内定量评估。在多发性硬化症(MS)中采用OCT的最新研究已利用各种手动黄斑分割方法来量化视网膜层厚度。我们调查了仅在中央黄斑B扫描内仅在最大黄斑厚度点(点估计)处测量视网膜层是否代表神经节细胞+内神经丛(GCIP)层,内核层( MS和健康对照组的INL),外部丛状层(OPL)和外部核层(ONL)。此外,我们检查了复合层的手动分割衍生度量与从黄斑立方体的自动3D分割得出的平均厚度度量之间的相关性。材料和方法:手动分割了52名MS患者和30名健康对照(HCs)的光谱域OCT中心黄斑B扫描。计算平均层厚度和最大黄斑厚度点处的层厚度。黄斑立方体扫描也利用全自动3D分割算法进行了分割。结果:从点估计得出的GCIP,INL和OPL最大厚度与中央黄斑B扫描中这些层的平均厚度相关性很好,而ONL最大厚度的相关性不那么强。手动分割得出的点估计值和GCIP的平均厚度测量值与相应的自动分割得出的测量值非常相关。 MS患者相对于HCs,GCIP最大和平均厚度明显降低。与HC相比,MS中ONL平均厚度显着降低,但ONL最大厚度并非如此。结论:GCIP,INL和OPL最大层厚度可作为替代品,以节省时间的方式评估MS中这些层的总体结构完整性。

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