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首页> 外文期刊>日本磁気共鳴医学会雑誌 >High Resolution Neurite Orientation Dispersion and Density Imaging (NODDI) in the Substantia Nigra of Patients with De Novo Parkinson Disease [Presidential Award Proceedings]
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High Resolution Neurite Orientation Dispersion and Density Imaging (NODDI) in the Substantia Nigra of Patients with De Novo Parkinson Disease [Presidential Award Proceedings]

机译：De Novo帕金森氏病患者黑质中的高分辨率神经突取向分散和密度成像（NODDI）[总统奖]

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Introduction: Parkinson disease (PD) is the most common human neurodegenerative disorder after Alzheimer disease. The motor impairment of patients with PD is mostly attributed to striatal dopaminergic depletion secondary to the degeneration of dopaminergic neurons in the substantia nigra (SN). In addition to cell loss, severe pathological changes in PD include a decrease of dendritic length and loss of dendritic spines in the SN pars compacta (SNpc). Neurite orientation dispersion and density imaging (NODDI) is a new diffusion magnetic resonance (MR) imaging technique that can be used to analyze the microstructure of dendrites and axons and provides more specific data on neuronal changes than do standard indices from diffusion tensor imaging, such as fractional anisotropy (FA) and mean diffusivity (MD). We used high resolution NODDI to quantify micro-structural changes in the SN and striatum and compared these data with conventional diffusion tensor imaging (DTI) parameters. Methods: Twenty-four patients with PD (mean age 69.0 + 7.9 years) and 22 age- and sex-matched healthy controls underwent diffusion-weighted MR imaging (DWI); high resolution DWI data were obtained using a zoomed echo planar imaging (EPI) sequence. We compared the intracellular volume fraction (Vic), orientation dispersion index (OD), and isotropic (CSF) volume fraction of the basal ganglia between the groups, comparing the diagnostic accuracies of the indices of interest using receiver operating characteristic (ROC) analysis and correlating imaging findings with disease severity using Pearson correlation coefficient analysis. Results: The mean OD and Vic in the contralateral SNpc and mean OD in the contralateral puta-men were significantly lower in patients with PD than healthy controls.
机译：简介：帕金森病（PD）是继阿尔茨海默病之后最常见的人类神经退行性疾病。 PD患者的运动障碍主要归因于黑质（SN）中多巴胺能神经元变性继发的纹状体多巴胺能消耗。除细胞损失外，PD的严重病理变化包括SN pars compacta（SNpc）中树突长度的减少和树突棘的损失。神经元定向弥散和密度成像（NODDI）是一种新的扩散磁共振（MR）成像技术，可用于分析树突和轴突的微观结构，并提供比扩散张量成像的标准指数更具体的神经元变化数据，例如作为分数各向异性（FA）和平均扩散率（MD）。我们使用高分辨率NODDI量化了SN和纹状体的微结构变化，并将这些数据与常规扩散张量成像（DTI）参数进行了比较。方法：24名PD患者（平均年龄69.0 + 7.9岁）和22名年龄和性别匹配的健康对照者接受了弥散加权MR成像（DWI）;使用缩放回波平面成像（EPI）序列获得高分辨率DWI数据。我们比较了两组之间基底神经节的细胞内体积分数（Vic），方向弥散指数（OD）和各向同性（CSF）体积分数，并使用接收器工作特征（ROC）分析比较了感兴趣指标的诊断准确性和使用Pearson相关系数分析将影像学发现与疾病严重程度相关联。结果：PD患者的对侧SNpc的平均OD和Vic以及对侧壳核的平均OD显着低于健康对照组。

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