Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Department of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hum Brain Mapp. 2023 Mar;44(4):1810-1824. doi: 10.1002/hbm.26178. Epub 2022 Dec 11.
The visualization and identification of the deep cerebellar nuclei (DCN) (dentate [DN], interposed [IN] and fastigial nuclei [FN]) are particularly challenging. We aimed to visualize the DCN using quantitative susceptibility mapping (QSM), predict the contrast differences between QSM and T2* weighted imaging, and compare the DCN volume and susceptibility in movement disorder populations and healthy controls (HCs). Seventy-one Parkinson's disease (PD) patients, 39 essential tremor patients, and 80 HCs were enrolled. The PD patients were subdivided into tremor dominant (TD) and postural instability/gait difficulty (PIGD) groups. A 3D strategically acquired gradient echo MR imaging protocol was used for each subject to obtain the QSM data. Regions of interest were drawn manually on the QSM data to calculate the volume and susceptibility. Correlation analysis between the susceptibility and either age or volume was performed and the intergroup differences of the volume and magnetic susceptibility in all the DCN structures were evaluated. For the most part, all the DCN structures were clearly visualized on the QSM data. The susceptibility increased as a function of volume for both the HC group and disease groups in the DN and IN (p < .001) but not the FN (p = .74). Only the volume of the FN in the TD-PD group was higher than that in the HCs (p = .012), otherwise, the volume and susceptibility among these four groups did not differ significantly. In conclusion, QSM provides clear visualization of the DCN structures. The results for the volume and susceptibility of the DCN can be used as baseline references in future studies of movement disorders.
深部小脑核(DCN)(齿状核[DN]、间位核[IN]和顶核[FN])的可视化和识别特别具有挑战性。我们旨在使用定量磁化率映射(QSM)来可视化 DCN,预测 QSM 和 T2*加权成像之间的对比度差异,并比较运动障碍人群和健康对照组(HCs)的 DCN 体积和磁化率。纳入了 71 名帕金森病(PD)患者、39 名特发性震颤患者和 80 名 HCs。将 PD 患者分为震颤主导(TD)和姿势不稳/步态困难(PIGD)组。对每个受试者使用 3D 策略性采集梯度回波磁共振成像方案获得 QSM 数据。在 QSM 数据上手动绘制感兴趣区以计算体积和磁化率。对磁化率与年龄或体积之间的相关性进行分析,并评估所有 DCN 结构的体积和磁化率的组间差异。在大多数情况下,QSM 数据上可以清楚地显示出所有的 DCN 结构。在 DN 和 IN 中,HC 组和疾病组的磁化率均随体积增加而增加(p<0.001),但 FN 则不然(p=0.74)。仅在 TD-PD 组中 FN 的体积大于 HCs(p=0.012),否则,这四组之间的体积和磁化率没有显著差异。总之,QSM 提供了 DCN 结构的清晰可视化。DCN 的体积和磁化率结果可作为未来运动障碍研究的基线参考。