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基于VBM方法对男性MCI患者灰质体积的纵向研究 被引量:1

Longitudinal study of grey matter in male MCI based on VBM method
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摘要 目的利用3D磁共振图像研究轻度认知障碍(mild cognitive impairment,MCI)患者首次扫描和3年后随访数据的全脑灰质体积改变。方法利用基于体素的形态测量学(voxel-based morphometry,VBM)方法对19例ADNI数据库中符合条件的男性MCI患者T1结构像进行预处理,得到平滑后全脑灰质图像,并对首次扫描数据和3年后随访数据的全脑灰质图像进行基于体素的统计学比较。此外,通过分析3年后随访数据中的临床统计学特征,将实验样本分为稳定型MCI(stable MCI,SMCI)和进展型MCI(progressive MCI,PMCI),并将SMCI和PMCI首次扫描数据进行全脑灰质比较。结果与首次扫描数据相比,3年后随访数据中双侧小脑后叶、右侧小脑前叶、右侧颞叶、右侧颞中回、右侧额下回和右侧海马旁回等区域的灰质体积发生萎缩。与SMCI组相比,PMCI组中左侧小脑后叶、右侧枕叶、右侧前扣带区域显示灰质体积均有显著性差异(P<0.005)。结论利用VBM方法对MCI患者磁共振图像分析能够客观揭示MCI患者特定区域灰质体积萎缩,为阿尔茨海默病的早期诊断提供可靠的影像学依据。 Objective To explore the difference of grey matter' s volumes between baseline and 3 -year follow-up of mild cognitive impairment(MCI) patients in 3D magnetic resonance image. Methods Based on the method of voxel-based morphometry(VBM) , we processed the 3T subjects (n = 19 )of MCI at baseline and 3 years later obtained from ADNI. After image preproeessing,we got the smoothed whole brain gray matter(GM) and then tested the changes of GM in the three years. In addition,based on the analysis on the clinical statistics charaeteristics of 3-year follow-up data,the samples were divided into two groups as progressive MCI (PMCI) and stable MCI(SMCI). Then we compared the whole brain GM difference between PMCI and SMCI. Results The regions of CM loss over the 3-year follow-up were the bilateral cerebellum posterior lobe, the right cerebellar anterior lobe,the right temporal lobe,the right middle temporal gyrus,the right inferior frontal gyrus and the right parahippocampal. Compared with SMCI, PMCI group had GM loss in the left cerebellum posterior lobe, the right occipital lobe and the right anterior cingulate regions (P 〈 0. 005). Conclusions Based on magnetic resonance images, the VBM method could objeetively reveal the GM atrophy in certanin regions and these results provided some reliable imaging basis for the early diagnosis of Alzheimer' s disease.
出处 《北京生物医学工程》 2013年第1期6-11,共6页 Beijing Biomedical Engineering
基金 国家自然科学基金(81071128) 北京市自然科学基金(7102017) 北京市教育委员会科技发展计划项目(SQKM201210025009)资助
关键词 阿尔茨海默病 轻度认知障碍 形态测量学 纵向分析 灰质 Alzheimer' s disease mild cognitive impairment morphometry longitudinal analysis grey matter
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