Cervical spondylosis: Evaluation of microstructural changes in spinal cord white matter and gray matter by diffusional kurtosis imaging

Cervical spondylosis: Evaluation of microstructural changes in spinal cord white matter and gray matter by diffusional kurtosis imaging
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DOI:
10.1016/j.mri.2014.01.018
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发表时间:
2014-06-01
影响因子:
2.5
通讯作者:
Aoki, Shigeki
Aoki, Shigeki
中科院分区:
医学4区
文献类型:
--
作者:
Hori, Masaaki;Tsutsumi, Satoshi;Aoki, Shigeki

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前言:应用弥散峰度成像技术(DKI)观察了颈椎病患者脊髓白质和灰质的微结构变化。方法:对13例脊髓型颈椎病患者(15例患侧和11例健侧)进行研究。常规磁共振成像后,用3T磁共振成像仪采集DKI数据。计算各向异性分数(FA)、表观弥散系数(ADC)和平均弥散峰度(MK),并分别对患侧和患侧脊髓白质和灰质进行比较。结果:患侧和健侧脊髓外侧索白质的束特异性分析无统计学差异。在脊髓灰质中,只有MK值显著低于非病变脊髓(0.60+/-0.18vs.0.73+/-0.13,P=0.0005)。结论:脊髓MK值可以反映脊髓的微结构改变和灰质损伤,并有可能提供常规弥散测量方法之外的更多信息。(C)2014年提交人。由爱思唯尔公司出版。这是CC BY-NC-SA许可证(http://creativecommons.org/licenses/by-nc-sa/3.0/).下的一篇开放获取文章
Introduction: We investigated microstructural changes in the spinal cord, separately for white matter and gray matter, in patients with cervical spondylosis by using diffusional kurtosis imaging (DKI).Methods: We studied 13 consecutive patients with cervical myelopathy (15 affected sides and 11 unaffected sides). After conventional magnetic resonance (MR) imaging, DKI data were acquired by using a 3 T MR imaging scanner. Values for fractional anisotropy (FA), apparent diffusion coefficient (ADC), and mean diffusional kurtosis (MK) were calculated and compared between unaffected and affected spinal cords, separately for white matter and gray matter.Results: Tract-specific analysis of white matter in the lateral funiculus showed no statistical differences between the affected and unaffected sides. In gray matter, only MK was significantly lower in the affected spinal cords than in unaffected spinal cords (0.60 +/- 0.18 vs. 0.73 +/- 0.13, P = 0.0005, Wilcoxon's signed rank test).Conclusions: MK values in the spinal cord may reflect microstructural changes and gray matter damage and can potentially provide more information beyond that obtained with conventional diffusion metrics. (C) 2014 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/).