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周围神经的多参数定量核磁共振 (MRI) 用于从轴突多神经病变中区分脱线化

Jesus E Fajardo¹, Vivian B Truong¹, Yang Xuan¹

¹Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA.

medRxiv : the preprint server for health sciences

|December 3, 2025

概括

多参数定量MRI (qMRI) 可以区分脱髓化和轴突多神经病变. 开发的CMT成像分数 (CMTIS) 显示为监测疾病进展的生物标志物具有前途.

科学领域:

神经成像是一种神经成像.
周围神经成像周围神经成像
量化MRI是指数量化的MRI.

背景情况:

区分脱髓化和轴突多神经病变对于有效的诊断和治疗至关重要.
假设对外围神经的定量MRI (qMRI) 可以区分这两种类型的多神经病变.
这项研究利用了基因定义的多神经病变来测试这个QMRI概念.

研究的目的:

确定多参数qMRI是否可以区分脱髓化和轴突多神经病变.
开发一个复合的qMRI得分 (CMT成像得分 - CMTIS) 来预测疾病的严重程度.
评估qMRI在区分不同类型遗传性神经病变的诊断性能.

主要方法:

从坐骨神经和骨神经获得的多参数qMRI数据 (MTR,MTsat,T2*,T1,PD,FA,MD,AD,RD,fVol) 使用3TMRI.
分析了Charcot-Marie-Tooth1型 (CMT1),CMT2型,可能导致压力麻的遗传性神经病变 (HNPP) 和健康对照组 (HC) 患者的数据.
开发CMTIS并将其与CMT神经病评分版本-2 (CMTNSv2) 相对应;进行ROC分析以确定诊断性能.

主要成果:

CMT1显示带体积 (fVol) 增加,而CMT2则减少了T2*.
无论是CMT1还是CMT2,都表现出减少的分数异构性 (FA),MT和指数 (MTsat) 和轴向扩散性 (AD),T1和辐射扩散性 (RD) 升高.
CMTIS显示出与CMTNSv2的强相关性 (r=0.67-0.79) 和CMT1和CMT2的高诊断区分 (AUC:0.73-0.95).

结论:

多参数qMRI有效地识别了脱髓化与轴突遗传性多神经病变的不同的成像特征.
作为疾病监测和严重程度评估的非侵入性生物标志物,CMTIS显示出巨大的潜力.
这种方法有助于精确诊断和管理周围神经疾病.

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