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作 者:彭朋[1] 梁璐[1] 田雅如 于洋[1] 蒋涛[1]
机构地区:[1]首都医科大学附属北京朝阳医院磁共振室,北京100020
出 处:《实用放射学杂志》2017年第1期8-11,19,共5页Journal of Practical Radiology
摘 要:目的通过基于体素形态学(VBM)研究不同烟瘾吸烟者脑灰白质萎缩情况。方法采用病例对照研究,收集2013-01-2014-05经广告招募来医院就诊的53名健康吸烟者和53名健康非吸烟者。采集被试相关信息。进行3D-T,全脑结构像扫描,图像分析使用SPM8软件的DARTEL工具包。以尼古丁依赖检验量表(FTND)评分将吸烟者分为轻中度烟瘾者(23人)和重度烟瘾者(30人),独立样本t检验比较不同烟瘾者脑灰白质体积与不吸烟者的区别。结果与对照组相比,不同烟瘾者均可见多发脑灰白质体积缩小脑区,主要在枕中回、后扣带回、小脑前叶、楔前叶、尾状体、岛叶。但轻中度烟瘾者灰白质缩小脑区数量和范围大于重度烟瘾者。结论轻中度烟瘾者的灰白质脑组织萎缩较重度烟瘾者范围增大。Objective To study the pattern of cerebral gray matter and white matter volume changes among smokers wlrrl Ollier- ent level of nicotine dependence (addition) using voxel-based morphometry (VBM).Methods The current case-control study recrui- ted 53 healthy male smokers and 53 healthy non-smokers from outpatients of our hospital during January 2013 to May 2014. Personal information (including for example age, sex and addition dependence of subjects) was collected using a questionnaire. 3D-T1 images of whole brain structure were collected and were analyzed using DARTEL toolbox of SPM8. Smokers were divided into mild to mod- erate nicotine dependence group (n= 23) and severe nicotine dependence group (n^30) based on FagerstrOm Test for Nicotine De- pendence (FTND} score. Independent sample t-test analyses were performed to compare the volumes of gray matter and white mat- ter between smokers with different levels of nicotine dependence and non-smokers.Results Compared with non-smokers, gray and white matter volumes of smokers were smaller in multiple brain areas, mainly in the middle occipital gyrus, posterior cingulate, cer- ebellum anterior lobe, precuneus, caudate body and insula, which however, had larger number and scope of focal areas with gray and white matter atrophy in the mild to moderate nicotine dependence group than that in the severe nicotine dependence group.Conclusion Smokers with mild to moderate nicotine dependence have more pronounced gray and white matter atrophy than that smokers with severe nicotine dependence have.
分 类 号:R445.2[医药卫生—影像医学与核医学] R163.2[医药卫生—诊断学]
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