张春艳,程敬亮,陈晨,赵瑞琛,彭媛媛.基于自动脑分割技术分析中国正常中老年人群脑结构体积[J].中国医学影像技术,2020,36(4):519~523
基于自动脑分割技术分析中国正常中老年人群脑结构体积
Analysis of brain structural volume in Chinese normal middle-aged and elder population based on automatic brain segmentation technology
投稿时间:2019-04-15  修订日期:2020-01-17
DOI:10.13929/j.issn.1003-3289.2020.04.010
中文关键词:    体积  磁共振成像
英文关键词:brain  volume  magnetic resonance imaging
基金项目:
作者单位E-mail
张春艳 郑州大学第一附属医院磁共振科, 河南 郑州 450052  
程敬亮 郑州大学第一附属医院磁共振科, 河南 郑州 450052 cjr.chjl@vip.163.com 
陈晨 郑州大学第一附属医院磁共振科, 河南 郑州 450052  
赵瑞琛 郑州大学第一附属医院磁共振科, 河南 郑州 450052  
彭媛媛 郑州大学第一附属医院磁共振科, 河南 郑州 450052  
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中文摘要:
      目的 采用自动脑分割技术分析中国正常中老年人群脑结构体积的差异。方法 对96名正常中老年志愿者采集MRI,以自动脑分割技术获得脑内各结构体积,观察脑内各结构体积在不同性别、年龄及左右侧之间的差异,分析年龄对脑内结构体积的影响。结果 不同性别之间,颅脑总体积绝对值,右侧壳核、左、右侧尾状核、右侧苍白球、右侧额叶灰质及左侧顶叶灰质标准体积值差异均有统计学意义(P均<0.05)。左右侧之间,丘脑、壳核、尾狀核、额叶、顶叶、枕叶、颞叶、扣带回灰质、岛叶及侧脑室标准体积值差异均有统计学意义(P均<0.05)。脑脊液、右侧脑室及第三脑室体积与年龄呈正相关(r=0.60、0.51、0.57,P均<0.05),双侧额叶和左侧岛叶,皮层灰质、顶叶灰质、颞叶灰质及左侧枕叶灰质体积与年龄均呈负相关(P均<0.05)。结论 自动脑分割技术能直观快速显示正常中老年人脑结构体积。不同性别健康中老年人脑内结构体积存在差异,随年龄增加,脑脊液、侧脑室及第三脑室体积增大,皮层灰质、额叶灰白质、顶枕颞叶灰质及岛叶体积缩小。
英文摘要:
      Objective To analyze the differences of brain structure volume in normal middle-aged and elder Chinese using automatic brain segmentation technique. Methods MRI was performed in 96 healthy middle-aged and elderly volunteers, and the volume of each brain structure was obtained with automatic brain segmentation technology. The differences of brain structure volumes in different genders, age, left and right side of the brain were analyzed, and the impact of aging was observed. Results Statistical differences of the absolute value of whole brain volume, also of standard volume of brain structures, including right putamen, bilateral caudate nucleus, right globus pallidus, gray matter of right frontal lobe and right parietal lobe were found between different genders. There were statistical differences of bilateral standard volume of cerebral ganglion, putamen, caudate nucleus, frontal lobe, parietal lobe, occipital lobe, temporal lobe, insular lobe, gray matter of cingulated gyrus and the third ventricle of cerebrum. The volume of cerebrospinal fluid, right ventricle and the third ventricle of cerebrum were positively correlated with aging (r=0.60, 0.51, 0.57, all P<0.05), whereas of bilateral frontal lobe and left insula lobe, cortical gray matter, gray matter of parietal lobe, temporal lobe and left occipital lobe were negatively correlated with aging (all P<0.05). Conclusion Automatic brain segmentation technology can directly and rapidly display brain structure volume. There are differences of brain structure volume in healthy middle-aged and elderly Chinese people between different genders. The volume of cerebrospinal fluid, lateral ventricle and third ventricle increase, while of cortical gray matter, frontal gray and white matter, parietal, occipital, temporal gray matter and insula lobe decrease with aging.
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