中国神经再生研究(英文版) ›› 2017, Vol. 12 ›› Issue (12): 2067-2070.doi: 10.4103/1673-5374.221166

• 原著:脊髓损伤修复保护与再生 • 上一篇    下一篇

健康成年人脊柱显微结构可变长回波序列-扩散张量成像的表征

  

  • 收稿日期:2017-09-18 出版日期:2017-12-15 发布日期:2017-12-15

Diffusion tensor imaging of spinal microstructure in healthy adults: improved resolution with the readout segmentation of long variable echo-trains

Bu-tian Zhang, Meng Li, Li-li Yu, Yi-meng Dai, Shao-nan Yu, Jin-lan Jiang   

  1. China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, China
  • Received:2017-09-18 Online:2017-12-15 Published:2017-12-15
  • Contact: Jin-lan Jiang, M.D.,zbt0417@outlook.com;jiangjl2003@hotmail.com.

摘要:

扩散张量成像对脊髓相关疾病的精确诊断及预后评估具有重要作用,但该技术所用成像序列由于技术限制,并不能完全精确测定脊髓的精细结构。故试验设计从此项横断面研究对45名20-63岁本人知情同意的健康志愿者进行新型分段可变长回波序列脊髓扩散张量成像测量,见可变长回波序列-扩散张量成像图像可提升颈部中下段的平均信噪比,且对白质部分各向异性分数和径向扩散系数高于灰质。结果提示新型分段可变长回波序列脊髓扩散张量成像可提高临床扩散张量成像图像的分辨率,为颈髓相关疾病的诊断与治疗提供准确的扩散张量成像基线数据。

orcid:0000-0003-0891-3464(Jin-lan Jiang)

关键词: 神经再生, 弥散张量成像, 颈部脊髓, 超微结构, 灰质, 白质, 可变长回波序列, 信噪比, 各向异性

Abstract:

Diffusion tensor imaging plays an important role in the accurate diagnosis and prognosis of spinal cord diseases. However, because of technical limitations, the imaging sequences used in this technique cannot reveal the fine structure of the spinal cord with precision. We used the readout segmentation of long variable echo-trains (RESOLVE) sequence in this cross-sectional study of 45 healthy volunteers aged 20 to 63 years. We found that the RESOLVE sequence significantly increased the resolution of the diffusion images and improved the median signal-to-noise ratio of the middle (C4–6) and lower (C7–T1) cervical segments to the level of the upper cervical segment. In addition, the values of fractional anisotropy and radial diffusivity were significantly higher in white matter than in gray matter. Our study verified that the RESOLVE sequence could improve resolution of diffusion tensor imaging in clinical applications and provide accurate baseline data for the diagnosis and treatment of cervical spinal cord diseases.

Key words: nerve regeneration, diffusion tensor imaging, cervical spinal cord, microstructure, gray matter, white matter, readout segmentation of long variable echo-train sequence, signal-to-noise ratio, fractional anisotropy, neural regeneration