%0 Journal Article
%T 基于Tirm序列联合直方图及纹理特征分析鉴别乳腺良恶性病变
%A 刘彩云
%A 姚标
%A 李晓峰
%A 王刚
%A 石岩
%A 罗小虎
%J 肿瘤防治研究
%D 2018
%R 10.3971/j.issn.1000-8578.2018.18.0815
%X 摘要 目的 分析乳腺良恶性病变在T2反转恢复压脂序列上的直方图及纹理特征，并评价诊断乳腺良恶性病变的效能。方法 回顾性分析100例行MRI检查并经病理证实的乳腺肿瘤资料。纹理特征提取采用灰度共生矩阵法得到病灶能量值、熵值、惯量值、自相关性、逆差矩及群显著性；直方图分析得到平均值、偏度、峰度。分别评价不同参数值在乳腺良恶性病变中的诊断效能。构建受试者工作特征曲线（ROC）结合临床实际评价乳腺良恶性组间的差异，确定诊断临界值。结果 各参数在良恶性组间比较，自相关性、群显著性、平均值及峰度值差异均有统计学意义（均P<0.001）；能量值、熵值、惯量值、逆差距及偏度值差异无统计学意义（P>0.05）。构建ROC将自相关性、群显著性、平均值及峰度值分别用于诊断乳腺良恶性病变，均有统计学意义（P<0.001），联合四组参数诊断良恶性病变，曲线下面积为0.868，敏感度为90.57%，特异性为72.34%。结论 基于Tirm序列的直方图及纹理分析可用于乳腺良恶性病变的鉴别诊断，自相关性、群显著性、平均值及峰度值在Tirm序列上对诊断乳腺良恶性病变有一定意义，联合诊断可提高诊断效能
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%U http://www.zlfzyj.com/CN/abstract/abstract9301.shtml