Beliveau Vincent, Krismer Florian, Skalla Elisabeth, Schocke Michael M, Gizewski Elke R, Wenning Gregor K, Poewe Werner, Seppi Klaus, Scherfler Christoph
Medical University of Innsbruck, Department of Neurology, Anichstrasse 35, 6020, Innsbruck, Austria; Medical University of Innsbruck, Neuroimaging Research Core Facility, Anichstrasse 35, 6020, Innsbruck, Austria.
Medical University of Innsbruck, Neuroimaging Research Core Facility, Anichstrasse 35, 6020, Innsbruck, Austria; Medical University of Innsbruck, Department of Neuroradiology, Anichstrasse 35, 6020, Innsbruck, Austria.
Parkinsonism Relat Disord. 2021 Apr;85:30-36. doi: 10.1016/j.parkreldis.2021.02.027. Epub 2021 Mar 3.
Microstructural integrity of the middle cerebellar peduncle (MCP) and the putamen captured by diffusion-tensor imaging (DTI) is differentially affected in the parkinsonian and cerebellar variants of multiple system atrophy (MSA-P, MSA-C) compared to Parkinson's disease (PD). The current study applied DTI and tractography in order to 1) characterize the distribution of DTI metrics along the tracts of the MCP and from the putamen in MSA variants, and 2) evaluate the usefulness of combining these measures for the differential diagnosis of MSA-P against PD in the clinical setting.
Twenty-nine MSA patients (MSA-C, n = 10; MSA-P, n = 19), with a mean disease duration of 2.8 ± 1.7 years, 19 PD patients, and 27 healthy controls (HC) were included in the study. Automatized tractography with a masking procedure was employed to isolate the MCP tracts. DTI measures along the tracts of the MCP and within the putamen were acquired and jointly used to classify MSA vs. PD, and MSA-P vs. PD. Putamen volume was additionally tested as classification feature in post hoc analyses.
DTI measures within the MCP and putamen showed significant alterations in MSA variants compared to HC and PD. Classification accuracy for MSA vs. PD and MSA-P vs PD using diffusion measures was 91.7% and 89.5%, respectively. When replacing the putaminal DTI measure by a normalized measure of putamen volume classification accuracy improved to 95.8% and 94.7%, respectively.
Multimodal information from MCP tractography and putamen volume yields excellent diagnostic accuracy to discriminate between early-to-moderately advanced patients with MSA and PD.
与帕金森病(PD)相比,多系统萎缩的帕金森型(MSA-P)和小脑型(MSA-C)中,扩散张量成像(DTI)所捕捉到的小脑中脚(MCP)和壳核的微观结构完整性受到不同影响。本研究应用DTI和纤维束成像技术,目的是:1)描述MSA各型中DTI指标沿MCP纤维束及从壳核发出的纤维束的分布情况;2)评估在临床环境中联合使用这些测量方法对MSA-P与PD进行鉴别诊断的效用。
本研究纳入了29例MSA患者(MSA-C,n = 10;MSA-P,n = 19),平均病程为2.8±1.7年,19例PD患者,以及27名健康对照(HC)。采用带掩膜程序的自动纤维束成像来分离MCP纤维束。获取沿MCP纤维束及壳核内的DTI测量值,并联合用于对MSA与PD、MSA-P与PD进行分类。在事后分析中,还将壳核体积作为分类特征进行了测试。
与HC和PD相比,MSA各型中MCP和壳核内的DTI测量值显示出显著改变。使用扩散测量值对MSA与PD、MSA-P与PD进行分类的准确率分别为91.7%和89.5%。当用壳核体积的标准化测量值取代壳核DTI测量值时,分类准确率分别提高到了95.8%和94.7%。
来自MCP纤维束成像和壳核体积的多模态信息在鉴别早期至中度进展期的MSA和PD患者时具有出色的诊断准确性。