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Diffusivity of cerebellar hemispheres enables discrimination of cerebellar or parkinsonian multiple system atrophy from progressive supranuclear palsy-Richardson syndrome and Parkinson disease

机译:小脑半球的扩散性可以区分小脑或帕金森氏多系统萎缩症与进行性核上性麻痹-理查森综合征和帕金森病

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Purpose: To explore the usefulness of histogram analysis of mean diffusivity (MD) derived from diffusion-weighted imaging of large infratentorial structures to distinguish parkinsonian syndromes. Materials and Methods: Local research ethics committee approval and informed consent were obtained. Ten patients with Parkinson disease (PD), nine with the parkinsonian variant of multiple system atrophy (MSA-P), seven with the cerebellar variant of MSA (MSA-C), 17 with progressive supranuclear palsy-Richardson syndrome (PSP-RS), and 10 healthy subjects were recruited. Histograms of MD values were generated for all pixels in the whole infratentorial compartment and separately for the whole brainstem, vermis, and cerebellar hemispheres. To assess the differences in MD values among groups, the Kruskal-Wallis test was used, followed by the Mann-Whitney U test for pairwise comparisons. All P values resulting from pairwise comparisons were corrected with the Bonferroni method. Results: MSA-P and MSA-C groups had higher median MD values (P < .01) in the brainstem and cerebellum when compared with other groups; this finding was in line with the known consistent neurodegenerative damage in posterior cranial fossa structures in these diseases. Median MD values from cerebellar hemispheres were used to discriminate patients with MSA-C and those with MSA-P from patients with PD and those with PSP-RS (P < .01; sensitivity, specificity, and positive predictive value equaled 100%). Furthermore, patients with PSP-RS had significantly higher MD values in the vermis than did healthy subjects (P < .05) and patients with PD (P < .001). Conclusion: These findings support the clinical usefulness of diffusion imaging in the differential diagnosis of parkinsonism, suggesting that the minimally operator-dependent histogram analysis of the infratentorial structures and particularly of the whole cerebellar hemispheres can be used to distinguish patients with MSA-P and those with MSA-C from patients with PSP-RS and those with PD.
机译:目的:探讨直方图分析从大型基础结构的扩散加权成像中得出的平均扩散率(MD)来区分帕金森氏综合征的有用性。材料和方法:获得当地研究伦理委员会的批准和知情同意。帕金森病(PD)10例,多系统萎缩的帕金森氏变型(MSA-P)9例,MSA小脑变型(MSA-C)7例,进行性核上性麻痹-理查森综合征(PSP-RS)17例,并招募了10名健康受试者。 MD值的直方图是针对整个下腹腔室中的所有像素生成的,并分别针对整个脑干,ver和小脑半球生成。为了评估各组之间MD值的差异,使用Kruskal-Wallis检验,然后使用Mann-Whitney U检验进行成对比较。成对比较得出的所有P值均使用Bonferroni方法进行了校正。结果:与其他组相比,MSA-P和MSA-C组在脑干和小脑中的中值MD值较高(P <.01)。这一发现与这些疾病中已知的颅后窝结构持续的神经退行性损伤相符。小脑半球的MD值中位数用于区分MSA-C患者和MSA-P患者与PD患者和PSP-RS患者(P <.01;敏感性,特异性和阳性预测值等于100%)。此外,PSP-RS患者的ver骨MD值明显高于健康受试者(P <.05)和PD患者(P <.001)。结论:这些发现支持弥散成像在帕金森病鉴别诊断中的临床实用性,表明对下腹结构,特别是整个小脑​​半球的最小操作者依赖性直方图分析可用于区分MSA-P患者和那些PSP-RS患者和PD患者使用MSA-C进行治疗。

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