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基于支持向量机的全脑扩散张量成像诊断社交焦虑障碍
  • ISSN号:1005-1201
  • 期刊名称:《中华放射学杂志》
  • 时间:0
  • 分类:R749.72[医药卫生—神经病学与精神病学;医药卫生—临床医学]
  • 作者机构:[1]贵州省遵义市第一人民医院放射科,563002, [2]四川大学华西医院放射科华西磁共振研究中心,成都610041, [3]四川大学华西医院心理卫生中心,成都610041
  • 相关基金:国家自然科学基金(81030027)
中文摘要:

目的 利用支持向量机(SVM)分类器,评价全脑扩散张量成像(DTI)对社交焦虑障碍(SAD)的诊断价值.方法 采集19例SAD患者和19名年龄、性别及受教育程度与之相匹配的健康志愿者的全脑DTI数据.通过Diffusion Toolkit软件获取全脑的各向异性分数(FA).根据全脑FA数据,以基于SVM算法的脑影像数据模式识别(PROBID)软件对SAD患者和健康对照进行模式识别分析,评价基于SVM,以全脑FA数据诊断SAD的诊断价值.以阈值P≤0.001行置换检验评价诊断试验的可靠性;计算各体素的FA差异占全脑总差异的比率,得到其对分类所贡献的权重向量值.用MRIcro软件显示最高30%权重向量值且体素个数≥10的脑区.结果 基于SVM,以全脑FA数据诊断SAD,准确度为92.11%(35/38),特异度为94.44%(17/18),敏感度为90.00%(18/20),阳性似然比为17.01,阴性似然比为0.11,诊断指数为184.22%.置换检验显示诊断结果可靠.对识别SAD贡献更大的白质脑区位于胼胝体膝部和压部、左侧钩束、左侧下纵束、左侧下额枕束、双侧额上回及左侧枕叶(体素数目21 ~ 136);对诊断健康对照贡献更大的白质区域包括双侧前扣带、左侧小脑中脚及左侧顶下小叶(体素数目14~112).结论 基于SVM,以全脑FA数据诊断SAD准确性较高,全脑DTI特征有望成为诊断SAD的特异性指标;在神经精神疾病的白质研究中,SVM或许可用于验证研究结果和提供感兴趣脑区.

英文摘要:

Objective To evaluate the clinical value of whole-brain diffusion tensor imaging(DTI) in diagnosing patients with social anxiety disorder(SAD) using an automated method based on support vector machine(SVM) classification.Methods Whole brain DTI data were collected from 19 patients with SAD and 19 age-,gender-and education-matched healthy control(HC) subjects.Fractional anisotropy(FA) of whole brain was obtained by input all tensor images into Diffusion Toolkit software.Based upon the characteristics of brain FA,the pattern recognition of brain image data(PROBID) toolbox on the grounds of SVM algorithm was employed to classify the subjects,evaluate the diagnostic value of whole-brain FA data based SVM in diagnosing SAD patients and verify the robustness of the diagnostic results using permutation test with the threshold at P≤0.001.The weight vector score of each voxel was calculated according to the ratio between this voxel and whole brain in FA differences of the two groups.The white matter regions identified by setting the threshold to the top 30% of the weight vector scores with at least 10 contiguous voxels were demonstrated by MRIcro software.Results Diagnostic accuracy of whole-brain FA based SVM in diagnosing SAD was 92.11% (35/38) in which the specificity was 94.44% (17/18),the sensitivity was 90.00%(18/20),the positive likelihood ratio was 17.01,the negative likelihood ratio was 0.11 and the diagnostic index was 184.22%.Permutation test suggested that the diagnostic results were significantly reliable.White matter regions showing major contributions favoring SAD over HC were located in the genu and splenium of the corpus callosum,the left uncinate fasciculus,the left inferior longitudinal fasciculus,the left inferior fronto-occipital fasciculus,bilateral frontal gyri and the left occipital lobe.Whereas,white matter in bilateral anterior cingula,the left middle cerebellar peduncle and the left inferior parietal lobule showed more contributions to diagnose HC

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期刊信息
  • 《中华放射学杂志》
  • 中国科技核心期刊
  • 主管单位:中国科协
  • 主办单位:中华医学会
  • 主编:
  • 地址:北京市东四西大街42号
  • 邮编:100710
  • 邮箱:cjr@cma.org.cn
  • 电话:010-85158384
  • 国际标准刊号:ISSN:1005-1201
  • 国内统一刊号:ISSN:11-2149/R
  • 邮发代号:2-66
  • 获奖情况:
  • 中华医学会2001年优秀期刊一等奖,1992年中国科协新闻出版署优秀学术期刊三等奖,199...,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),波兰哥白尼索引,荷兰文摘与引文数据库,荷兰医学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:64918