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首页> 外文期刊>Journal of Neurology >In vivo assessment of retinal neuronal layers in multiple sclerosis with manual and automated optical coherence tomography segmentation techniques
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In vivo assessment of retinal neuronal layers in multiple sclerosis with manual and automated optical coherence tomography segmentation techniques

机译:使用手动和自动光学相干断层扫描分割技术对多发性硬化症中视网膜神经元层进行体内评估

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摘要

Macular optical coherence tomography (OCT) segmentation, enabling quantification of retinal axonal and neuronal subpopulations, may help elucidate the neuroretinal pathobiology of multiple sclerosis (MS). This study aimed to determine the agreement, reproducibility, and visual correlations of retinal layer thicknesses measured by different OCT segmentation techniques, on two spectral-domain OCT devices. Macular scans of 52 MS patients and 30 healthy controls from Spectralis OCT and Cirrus HD-OCT were segmented using fully manual (Spectralis), computer-aided manual (Spectralis and Cirrus), and fully automated (Cirrus) segmentation techniques. Letter acuity was recorded. Bland-Altman analyses revealed low mean differences across OCT segmentation techniques on both devices for ganglion cell + inner plexiform layers (GCIP; 0.76–2.43 μm), inner nuclear + outer plexiform layers (INL + OPL; 0.36–1.04 μm), and outer nuclear layers including photoreceptor segment (ONL + PR; 1.29–3.52 μm) thicknesses. Limits of agreement for GCIP and ONL + PR thicknesses were narrow. Results of fully manual and computer-aided manual segmentation were comparable to those of fully automated segmentation. MS patients demonstrated macular RNFL, GCIP, and ONL + PR thinning compared to healthy controls across OCT segmentation techniques, irrespective of device (p 0.03 for all). Low-contrast letter acuity in MS correlated significantly and more strongly with GCIP than peripapillary RNFL thicknesses, regardless of the segmentation method or device. GCIP and ONL + PR thicknesses, measured by different OCT devices and segmentation techniques, are reproducible and agree at the individual and cohort levels. GCIP thinning in MS correlates with visual dysfunction. Significant ONL + PR thinning, detectable across OCT segmentation techniques and devices, strongly supports ONL pathology in MS. Fully automated, fully manual and computer-assisted manual OCT segmentation techniques compare closely, highlighting the utility of accurate and time-efficient automated segmentation outcomes in MS clinical trials.
机译:黄斑光学相干断层扫描(OCT)分割,可以量化视网膜轴突和神经元亚群,可能有助于阐明多发性硬化症(MS)的神经视网膜病理学。这项研究旨在确定在两个光谱域OCT设备上通过不同的OCT分割技术测量的视网膜层厚度的一致性,可重复性和视觉相关性。使用完全手动(Spectralis),计算机辅助手动(Spectralis和Cirrus)和全自动(Cirrus)分割技术对来自Spectralis OCT和Cirrus HD-OCT的52名MS患者和30名健康对照的黄斑扫描进行了分割。记录字母敏锐度。 Bland-Altman分析显示,两种装置的神经节细胞+内丛状层(GCIP; 0.76-2.43μm),内核+丛状外层(INL + OPL; 0.36-1.04μm)和OCT分割技术的均值差异均较低核层,包括感光段(ONL + PR; 1.29–3.52μm)厚度。 GCIP和ONL + PR厚度的协议限制很窄。完全手动和计算机辅助手动分割的结果与完全自动分割的结果相当。与健康对照相比,MS患者在各种OCT分割技术上均表现出黄斑RNFL,GCIP和ONL + PR变薄,而与装置无关(所有p <0.03)。无论采用何种分割方法或装置,MS的低对比度字母视力与GCIP的相关性均比乳头状RNFL厚度显着强。通过不同的OCT设备和分割技术测得的GCIP和ONL + PR厚度是可重现的,并且在个体和队列水平上均一致。 MS中的GCIP变薄与视觉功能障碍有关。在整个OCT细分技术和设备中均可检测到的显着ONL + PR变薄,强烈支持MS中的ONL病理。全自动,全自动和计算机辅助手动OCT分割技术进行了比较,从而突出了准确,省时的自动分割结果在MS临床试验中的实用性。

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