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彩色超声判断实性浅表软组织肿物良恶性的ROC曲线分析
引用本文:许东阳,王学梅.彩色超声判断实性浅表软组织肿物良恶性的ROC曲线分析[J].中国临床医学影像杂志,2007,18(6):425-427.
作者姓名:许东阳  王学梅
作者单位:1. 中国医科大学附属第一医院超声科,辽宁,沈阳,110001
2. 中国医科大学附属第一医院超声科,110001
摘    要:目的:应用受试者工作特征曲线(ROC曲线)评价彩色超声判断实性浅表软组织肿物良恶性的价值。方法:应用二维超声、彩色多普勒成像结合新近发展的三维成像、拓宽视野成像技术等观察92例实性浅表软组织肿物的超声表现并与手术及病理对照;对实性肿物的大小、边界、形态、内部均匀度、血流等超声指标进行半定量分级评分并把各分数相加,绘制综合以上各种超声表现判定实性浅表肿物良恶性的ROC曲线,同时计算Youden指数(YI,也称为正确诊断指数)确定最佳诊断点。结果:本组92例浅表软组织肿物超声检出率为100%,其中良性肿物72例,恶性肿物20例。ROC曲线下面积(Az)为0.994(P<0.001), Youden指数为10。结论:超声对浅表软组织肿物的诊断尤其是对良恶性判断有很高的准确度,从而对治疗方法起到非常重要的指导作用。

关 键 词:软组织肿瘤  超声检查  多普勒  彩色  ROC曲线
文章编号:1008-1062(2007)06-0425-03
收稿时间:2007-01-22
修稿时间:2007-01-22

The ROC curve analysis of color Doppler ultrasound in differentiation of benign and malignant solid superficial soft tissue tumors
XU Dong-yang,WANG Xue-mei.The ROC curve analysis of color Doppler ultrasound in differentiation of benign and malignant solid superficial soft tissue tumors[J].Journal of China Clinic Medical Imaging,2007,18(6):425-427.
Authors:XU Dong-yang  WANG Xue-mei
Institution:Department of Ultrasound, the First Affiliated Hospital of China Medical University, Shenyang 110001, China
Abstract:Objective:To investigate the value of color Doppler ultrasound in differentiation of benign and malignant solid superficial soft-tissue tumors using receiver operation characteristic curve(ROC curve).Method:Ninty-two solid superficial soft-tissue tumors were studied using combination of two-dimensional and color Doppler ultrasound and compared with the pathologic results.The tumors were evaluated semi-quantitatively to get the ROC curve and the Youden index according to the tumors' size,margin,configuration,homogeneity and blood flow.Results:The color ultrasound demonstrated all the 92 tumors including 72 benign and 20 malignant ones.The area under the ROC curve was 0.994(P<0.001),and the Youden index was 10.Conclusion:The color ultrasound is accurate in the differentiation of benign and malignant superficial soft tissue tumors,and plays a directive role in treatment planning.
Keywords:soft tissue neoplasms  ultrasonography  Doppler  color  ROC curve
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