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用于帕金森病诊断的磁共振成像

Magnetic resonance imaging for the diagnosis of Parkinson's disease.

作者信息

Heim Beatrice, Krismer Florian, De Marzi Roberto, Seppi Klaus

机构信息

Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.

Neuroimaging Research Core Facility, Medical University Innsbruck, Innsbruck, Austria.

出版信息

J Neural Transm (Vienna). 2017 Aug;124(8):915-964. doi: 10.1007/s00702-017-1717-8. Epub 2017 Apr 4.

DOI:10.1007/s00702-017-1717-8
PMID:28378231
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5514207/
Abstract

The differential diagnosis of parkinsonian syndromes is considered one of the most challenging in neurology and error rates in the clinical diagnosis can be high even at specialized centres. Despite several limitations, magnetic resonance imaging (MRI) has undoubtedly enhanced the diagnostic accuracy in the differential diagnosis of neurodegenerative parkinsonism over the last three decades. This review aims to summarize research findings regarding the value of the different MRI techniques, including advanced sequences at high- and ultra-high-field MRI and modern image analysis algorithms, in the diagnostic work-up of Parkinson's disease. This includes not only the exclusion of alternative diagnoses for Parkinson's disease such as symptomatic parkinsonism and atypical parkinsonism, but also the diagnosis of early, new onset, and even prodromal Parkinson's disease.

摘要

帕金森综合征的鉴别诊断被认为是神经病学中最具挑战性的任务之一,即使在专业中心,临床诊断的错误率也可能很高。尽管存在一些局限性,但在过去三十年中,磁共振成像(MRI)无疑提高了神经退行性帕金森病鉴别诊断的准确性。本综述旨在总结有关不同MRI技术价值的研究结果,包括高场和超高场MRI的先进序列以及现代图像分析算法,用于帕金森病的诊断检查。这不仅包括排除帕金森病的替代诊断,如症状性帕金森综合征和非典型帕金森综合征,还包括早期、新发甚至前驱期帕金森病的诊断。

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Cells. 2025 Jul 28;14(15):1161. doi: 10.3390/cells14151161.
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Machine learning for Parkinson's disease: a comprehensive review of datasets, algorithms, and challenges.帕金森病的机器学习:数据集、算法及挑战的全面综述
NPJ Parkinsons Dis. 2025 Jul 1;11(1):187. doi: 10.1038/s41531-025-01025-9.
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Unsupervised subtyping of motor dysfunction of Parkinson's disease and its structural brain imaging correlates.

本文引用的文献

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The role of high-field magnetic resonance imaging in parkinsonian disorders: Pushing the boundaries forward.高场磁共振成像在帕金森病中的作用:推动边界向前发展。
Mov Disord. 2017 Apr;32(4):510-525. doi: 10.1002/mds.26968. Epub 2017 Mar 28.
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Parkinson disease.帕金森病。
Nat Rev Dis Primers. 2017 Mar 23;3:17013. doi: 10.1038/nrdp.2017.13.
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Meta-analysis of dorsolateral nigral hyperintensity on magnetic resonance imaging as a marker for Parkinson's disease.磁共振成像中背外侧黑质高信号作为帕金森病标志物的荟萃分析。
帕金森病运动功能障碍的无监督亚型分类及其脑结构成像相关性。
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Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease.生物标志物引导的退行性关节疾病成像与人工智能辅助诊断
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Carriers of pathogenic variants show a milder, anatomically distinct brain signature of Parkinson's disease.携带致病变体的个体表现出一种较为轻微、在解剖学上有明显差异的帕金森病脑部特征。
medRxiv. 2025 Mar 10:2025.03.09.25323610. doi: 10.1101/2025.03.09.25323610.
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Annual percentage change of MR Parkinsonism index in progressive supranuclear palsy: a feasibility study.进行性核上性麻痹中帕金森病指数的年度百分比变化:一项可行性研究。
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Individualized diagnosis of Parkinson's disease based on multivariate magnetic resonance imaging radiomics and clinical indexes.基于多变量磁共振成像放射组学和临床指标的帕金森病个体化诊断
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Manual MRI morphometry in Parkinsonian syndromes.帕金森综合征的手动MRI形态测量法
Mov Disord. 2017 May;32(5):778-782. doi: 10.1002/mds.26921. Epub 2017 Feb 2.
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Parkinson's disease-related increase of T2*-weighted hypointensity in substantia nigra pars compacta.帕金森病相关的黑质致密部T2*加权低信号增加。
Mov Disord. 2017 Mar;32(3):441-449. doi: 10.1002/mds.26883. Epub 2016 Dec 22.
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Aberrant regional homogeneity in Parkinson's disease: A voxel-wise meta-analysis of resting-state functional magnetic resonance imaging studies.帕金森病的异常局部一致性:静息态功能磁共振成像研究的体素水平荟萃分析。
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Imaging of nigrosome 1 in substantia nigra at 3T using multiecho susceptibility map-weighted imaging (SMWI).使用多回波磁化率图加权成像(SMWI)在 3T 下对黑质内的 nigrosome 1 进行成像。
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Brain MR Contribution to the Differential Diagnosis of Parkinsonian Syndromes: An Update.脑磁共振成像对帕金森综合征鉴别诊断的贡献:最新进展
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