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进行性共济失调患者脑干和小脑神经变性的扩散加权成像(ADC)图谱分析

ADC mapping of neurodegeneration in the brainstem and cerebellum of patients with progressive ataxias.

作者信息

Della Nave Riccardo, Foresti Silvia, Tessa Carlo, Moretti Marco, Ginestroni Andrea, Gavazzi Cinzia, Guerrini Laura, Salvi Fabrizio, Piacentini Silvia, Mascalchi Mario

机构信息

Radiodiagnostic Section, Department of Clinical Physiopathology, University of Florence, Florence, Italy.

出版信息

Neuroimage. 2004 Jun;22(2):698-705. doi: 10.1016/j.neuroimage.2004.01.035.

Abstract

Analysis of the apparent diffusion coefficient (ADC) maps derived from diffusion-weighted MR imaging is emerging as a reproducible, sensitive, and quantitative tool to evaluate brain damage in diseases of the white and gray matter. To explore the potentials of ADC maps analysis in degenerative ataxias, we examined 28 patients and 26 age-matched controls with T1, T2, and diffusion (b values 0-1000 along the three main body axes)-weighted MR images. Twenty-four patients had inherited genetically proven diseases including spinocerebellar ataxia type 1 (SCA1) (n = 9), spinocerebellar ataxia type 2 (SCA2) (n = 8), and Friedreich's ataxia (FA) (n = 7), whereas four patients had sporadic adult onset pure cerebellar ataxia (three idiopathic, one gluten intolerance). Area and linear measurements of the CNS structures contained in the posterior cranial fossa (PCF) preliminary enabled classification of the patients in the three morphological categories reflecting the gross pathology findings, namely olivopontocerebellar atrophy (OPCA) (n = 10: six SCA2 and four SCA1), spinal atrophy (SA) (n = 7: all FA), and cortical cerebellar atrophy (CCA) (n = 4: three idiopathic and one gluten intolerance). Seven patients with SCA1 (n = 5) or SCA2 (n = 2) had morphologic changes reminiscent of OPCA, but their values were still in the lower normal range and were classified as undefined. Mean diffusivity (D) maps of the entire brain were generated and D was measured with regions of interest (ROI) in the medulla, pons, middle cerebellar peduncles, and the peridentate white matter. Moreover, after exclusion of the skull with manual segmentation and of the CSF with application of a threshold value, histograms were obtained for D of the brainstem and cerebellum and for D of the cerebral hemispheres. As compared to controls, a (P < 0.001) increase of D was observed in the medulla, middle cerebellar peduncles, and peridentate white matter in OPCA and undefined patients groups who had also significantly increased values of the 25th and 50th percentiles in the brainstem and cerebellum D histogram. In CCA (P = 0.01), an increase of the 25th and 50th percentile of the D value was observed in the brainstem and cerebellum histograms. The SA group showed (P < 0.001) an increased D in the medulla only. A correlation between clinical severity as assessed with the Inherited Ataxias Clinical Rating Scale (IACRS) and the 50th percentile of the D value in the brainstem and cerebellum histogram (r = 0.69) was observed in patients with SCA1 or SCA2. Diffusion MR imaging reveals variable patterns of increase of D in the brainstem, cerebellum, and cerebral hemispheres in degenerative ataxias that match the known distribution of the neuropathological changes.

摘要

基于扩散加权磁共振成像(MRI)得出的表观扩散系数(ADC)图分析,正逐渐成为一种可重复、敏感且定量的工具,用于评估白质和灰质疾病中的脑损伤。为了探索ADC图分析在退行性共济失调中的潜力,我们对28例患者和26例年龄匹配的对照者进行了T1、T2以及扩散加权(沿三个主要身体轴的b值为0 - 1000)MRI检查。24例患者患有经基因证实的遗传性疾病,包括1型脊髓小脑共济失调(SCA1)(n = 9)、2型脊髓小脑共济失调(SCA2)(n = 8)和弗里德赖希共济失调(FA)(n = 7),而4例患者患有散发性成人起病的单纯小脑共济失调(3例特发性,1例麸质不耐受)。对后颅窝(PCF)中包含的中枢神经系统结构进行面积和线性测量,初步将患者分为反映大体病理结果的三种形态学类别,即橄榄脑桥小脑萎缩(OPCA)(n = 10:6例SCA2和4例SCA1)、脊髓萎缩(SA)(n = 7:均为FA)和皮质小脑萎缩(CCA)(n = 4:3例特发性和1例麸质不耐受)。7例SCA1(n = 5)或SCA2(n = 2)患者有类似于OPCA的形态学改变,但其值仍在正常下限范围内,被归类为未明确类型。生成了全脑的平均扩散率(D)图,并在延髓、脑桥、小脑中脚和齿状核周围白质中用感兴趣区(ROI)测量D值。此外,通过手动分割排除颅骨并应用阈值排除脑脊液后,获得了脑干和小脑以及大脑半球D值的直方图。与对照组相比,OPCA组和未明确类型患者组的延髓、小脑中脚和齿状核周围白质中的D值升高(P < 0.001),其脑干和小脑D值直方图的第25和第50百分位数也显著升高。在CCA组(P = 0.01)中,脑干和小脑直方图中D值的第25和第50百分位数升高。SA组仅在延髓中显示D值升高(P < 0.001)。在SCA1或SCA2患者中,观察到用遗传性共济失调临床评定量表(IACRS)评估的临床严重程度与脑干和小脑直方图中D值的第50百分位数之间存在相关性(r = 0.69)。扩散MRI显示,退行性共济失调患者的脑干、小脑和大脑半球中D值升高的模式各不相同,这与已知的神经病理变化分布相匹配。

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