中国神经再生研究(英文版)

中国神经再生研究(英文版) ›› 2019, Vol. 14 ›› Issue (2): 272-279.doi: 10.4103/1673-5374.244791

• 原著:脑损伤修复保护与再生 • 上一篇    下一篇

弥散峰度成像可揭示急性缺血性脑卒中不同脑区微结构改变的差异

  

  • 出版日期:2019-02-15 发布日期:2019-02-15
  • 基金资助:

    厦门市科技局科技计划项目（3502Z20154065）；厦门市科技局重大疾病合作项目（3502Z20149032）

Diffusion kurtosis imaging of microstructural changes in brain tissue affected by acute ischemic stroke in different locations

Liu-Hong Zhu 1, 2 , Zhong-Ping Zhang 3 , Fu-Nan Wang 1 , Qi-Hua Cheng 1 , Gang Guo 1   

  1. 1 Department of Radiology, Xiamen Second Hospital, Xiamen, Fujian Province, China
    2 Department of Radiology, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, Fujian Province, China
    3 MR Research China, GE Healthcare, Beijing, China
  • Online:2019-02-15 Published:2019-02-15
  • Contact: Gang Guo, MD, guogangxm@163.com.
  • Supported by:

    This study was supported by the Science and Technology Planned Project from Xiamen Science and Technology Bureau, China, No. 3502Z20154065 (to LHZ); the Joint Project for Xiamen Key Diseases from Xiamen Science and Technology Bureau, China, No. 3502Z20149032 (to GG).

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摘要：

急性缺血性卒中的部位与治疗方法选择及预后有关，但是目前广泛使用的基于高斯模型参数的表观扩散系数不能揭示不同脑区位置的微观结构变化以及损伤程度。试验利用弥散峰度成像技术检测156例急性缺血性脑梗死患者(男61例，女95例，年龄63.15±12.34岁)的199个病灶，包含脑室周围白质区(n=52)、胼胝体区(n=14)，小脑区(n=29)、基底节区(n=21)、脑干区(n=21)和灰白质交界区(n=62)。评价结果为(1)各部位表观扩散系数差值、平均扩散系数差值、轴向扩散系数差值和径向弥散系数差值接近；(2)除基底节区与脑干区、基底节区与灰白质交界区、脑干区与灰白质交界区平均峰度差值没有差异外，其他脑区平均峰度差值差异明显；(3)扩散峰度的下降顺序为胼胝体区＞脑室周围白质区＞脑干区＞灰白质交界区＞基底节区>小脑区；(4)结果证实弥散峰度成像可揭示急性缺血性脑卒中不同脑区微结构改变的差异，且扩散峰度对差异的区分表现比扩散系数更好。

orcid: 0000-0003-1251-6744(Liu-Hong Zhu)

关键词: 表观扩散系数, 弥散加权成像, 扩散峰度成像, 急性缺血性卒中, 平均峰度, 微结构变化, 白质, 1.5T磁共振系统

Abstract:

The location of an acute ischemic stroke is associated with its prognosis. The widely used Gaussian model-based parameter, apparent diffusion coefficient (ADC), cannot reveal microstructural changes in different locations or the degree of infarction. Diffusion kurtosis imaging (DKI) was used to detect 199 lesions in 156 patients with acute ischemic stroke (61 males and 95 females), mean age 63.15 ± 12.34 years. A total of 199 lesions were located in the periventricular white matter (n = 52), corpus callosum (n = 14), cerebellum (n = 29), basal ganglia and thalamus (n = 21), brainstem (n = 21) and gray-white matter junctions (n = 62). Percentage changes of apparent diffusion coefficient (ΔADC) and DKI-derived indices (fractional anisotropy [ΔFA], mean diffusivity [ΔMD], axial diffusivity [ΔDa], radial diffusivity ΔDr, mean kurtosis [ΔMK], axial kurtosis [ΔKa], and radial kurtosis [ΔKr]) of each lesion were computed relative to the normal contralateral region. The results showed that (1) there was no significant difference in ΔADC, ΔMD, ΔDa or ΔDr among almost all locations. (2) There was significant difference in ΔMK among almost all locations (except basal ganglia and thalamus vs. brain stem; basal ganglia and thalamus vs. gray-white matter junctions; and brainstem vs. gray-white matter junctions. (3) The degree of change in diffusional kurtosis in descending order was as follows: corpus callosum > periventricular white matter > brainstem > gray-white matter junctions > basal ganglia and thalamus > cerebellum. In conclusion, DKI could reveal the differences in microstructure changes among various locations affected by acute ischemic stroke, and performed better than diffusivity among all groups.

Key words: nerve regeneration, apparent diffusion coefficient, diffusion weighted imaging, diffusion kurtosis imaging, acute ischemic stroke, mean kurtosis, microstructure changes, white matter, 1.5 Tesla magnetic resonance system, neural regeneration