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首页> 外文期刊>Movement disorders >The Role of Arterial Spin Labeling, a Noninvasive MRI Perfusion Method, in Identifying an Abnormal Cerebral Perfusion Pattern in Parkinson's Disease
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The Role of Arterial Spin Labeling, a Noninvasive MRI Perfusion Method, in Identifying an Abnormal Cerebral Perfusion Pattern in Parkinson's Disease

机译:动脉旋转标记,一种非侵入式MRI灌注方法的作用,鉴定帕金森病的异常脑灌注模式

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摘要

In clinical practice, conventional magnetic resonance imaging (cMRI) with visual assessment of T2- and T1-weighted imaging is a well-established method for the exclusion of other causes of parkinsonism including atypical parkinson-ism and symptomatic parkinsonism due to other pathologies. By using magnetically labeled arterial blood water as an endogenous tracer to provide quantitative cerebral blood flow (CBF) measurements, perfusion imaging with arterial spin labeling (ASL) contrast represents a noninvasive MRI perfusion method that quantitatively measures CBF per unit tissue mass. In this study, the authors measured cerebral gray matter perfusion using pseudo-continuous ASL in 61 subjects with Parkinson's disease (PD) compared with 29 age- and sex-matched controls. Motor impairment was assessed with part III of the Unified Parkinson's Disease Rating Scale (UPDRS part III) and global cognitive status with the Mini-Mental State Examination and the Montreal Cognitive Assessment (MoCA). PD patients were classified as cognitively normal (n = 34), with mild cognitive impairment (n = 16), or with dementia (n = 11). The authors identified a PD-related perfusion network by principal component analysis (ie, a data-driven technique that enables the unbiased detection of spatial covariance patterns) of ASL-MRI via logistic regression.
机译:在临床实践中,具有视觉评估T2和T1加权成像的常规磁共振成像(CMRI)是排除其他原因,包括非典型帕金森 - ISM和由于其他病理学的症状帕金森主义。通过使用磁性标记的动脉血水作为内源示踪剂以提供定量脑血流(CBF)测量,具有动脉旋转标记(ASL)对比度的灌注成像代表了每单位组织块的定量测量CBF的非侵入式MRI灌注方法。在这项研究中,作者使用帕金森病(Pd)中的61例受试者中的伪连续ASL测量了脑灰质灌注,与29岁和性别匹配的对照组。通过统一帕金森病评级规模(UPDRS第三部分)和全球认知地位以及迷你精神状态审查和蒙特利尔认知评估(MOCA)的全球认知地位评估了电机损伤。 PD患者被分类为认知正常(n = 34),具有轻度认知损伤(n = 16),或痴呆(n = 11)。作者通过主成分分析(即,数据驱动技术,通过Logistic回归通过主成分分析(即,数据驱动技术)通过逻辑回归来识别PD相关的灌注网络。

著录项

  • 来源
    《Movement disorders》 |2011年第7期|共1页
  • 作者

    Klaus Seppi;

  • 作者单位

    Medical University Innsbruck Neurology Innsbruck Austria;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 神经病学;
  • 关键词

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