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健康与脊髓病变脊髓扩散张量各向异性熵分析。

Orientation entropy analysis of diffusion tensor in healthy and myelopathic spinal cord.

机构信息

Department of Orthopaedics and Traumatology, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Hong Kong.

出版信息

Neuroimage. 2011 Oct 15;58(4):1028-33. doi: 10.1016/j.neuroimage.2011.06.072. Epub 2011 Jul 18.

Abstract

The majority of nerve fibers in the spinal cord run longitudinally, playing an important role in connecting the brain to the peripheral nerves. There is a growing interest in applying diffusion tensor imaging (DTI) to the evaluation of spinal cord microarchitecture. The current study sought to compare the organization of longitudinal nerve fibers between healthy and myelopathic spinal cords using entropy-based analysis of principal eigenvector mapping. A total of 22 subjects were recruited, including 14 healthy subjects, seven cervical myelopathy (CM) patients with single-level compression, and one patient suffering from multi-level compression. Diffusion tensor magnetic resonance (MR) images of the cervical spinal cord were obtained using a pulsed gradient, spin-echo echo-planar imaging (SE-EPI) sequence with a 3T MR system. Regions of interest (ROIs) were drawn manually to cover the spinal cord, and Shannon entropy was calculated in principal eigenvector maps. The results revealed no significant differences in orientation entropy values along the whole length of cervical spinal cord in healthy subjects (C2-3: 0.73±0.05; C3-4: 0.71±0.07; C4-5: 0.72±0.048; C5-6: 0.71±0.07; C6-7: 0.72±0.07). In contrast, orientation entropy values in myelopathic cord were significantly higher at the compression site (0.91±0.03), and the adjacent levels (above: 0.85±0.03; below: 0.83±0.05). This study provides a novel approach to analyze the orientation information in diffusion MR images of healthy and diseased spinal cord. These results indicate that orientation entropy can be applied to determine the contribution of each compression level to the overall disorganization of principal nerve tracts of myelopathic spinal cord in cases with multi-level compression.

摘要

脊髓中的大多数神经纤维呈纵向排列,在连接大脑和外周神经方面发挥着重要作用。人们越来越感兴趣的是将弥散张量成像(DTI)应用于脊髓微观结构的评估。本研究旨在使用基于主特征向量映射熵的分析方法,比较健康和脊髓病脊髓中纵向神经纤维的组织。共招募了 22 名受试者,包括 14 名健康受试者、7 名单节段压迫的颈脊髓病(CM)患者和 1 名多节段压迫的患者。使用 3T MR 系统的脉冲梯度、自旋回波回波平面成像(SE-EPI)序列获得颈脊髓弥散张量磁共振(MR)图像。手动绘制感兴趣区(ROI)以覆盖脊髓,并在主特征向量图中计算香农熵。结果显示,健康受试者颈脊髓全长的方向熵值无显著差异(C2-3:0.73±0.05;C3-4:0.71±0.07;C4-5:0.72±0.048;C5-6:0.71±0.07;C6-7:0.72±0.07)。相比之下,脊髓病患者在压迫部位(0.91±0.03)和相邻节段(上方:0.85±0.03;下方:0.83±0.05)的方向熵值显著升高。本研究提供了一种分析健康和患病脊髓弥散 MR 图像中方向信息的新方法。这些结果表明,方向熵可用于确定每个压迫水平对多节段压迫脊髓病患者脊髓主要神经束整体紊乱的贡献。

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