首页> 外文期刊>European Journal of Radiology >Characterization of benign and malignant solid breast masses in harmonic 3D power Doppler imaging.
【24h】

Characterization of benign and malignant solid breast masses in harmonic 3D power Doppler imaging.

机译:谐波3D功率多普勒成像中良性和恶性固体乳房肿块的特征。

获取原文
获取原文并翻译 | 示例
           

摘要

PURPOSE: The authors assessed the characteristics of benign and malignant solid breast tumors in harmonic three-dimensional (3D) power Doppler imaging and proposed decision models to classify benign and malignant breast tumors. MATERIALS AND METHODS: A total of 86 malignant and 97 benign harmonic 3D power Doppler US images were analyzed. All the harmonic 3D power Doppler images were obtained using a Voluson730 US system (GE, Zipf, Austria) equipped with a RSP 6-12 transducer and tissue harmonic imaging modalities. Imaging analysis was performed using the Virtual Organ Computer-aided Analysis (VOCAL)-imaging program. Histogram indices, the vascularization index (VI), flow index (FI) and vascularization-flow index (VFI), were calculated for the intra-tumor and for shells with an outside thickness of 3mm surrounding the breast tumors. The receiver operating characteristic (ROC) curves were calculated to estimate the diagnostic performances. RESULTS: The results revealed that the choice of decision model comprised the parameters of patient age, intra-tumor VI, and tumor volume to classify benign and malignant breast tumors. The area under the ROC curve (Az) was 0.910, accuracy was 81.4%, and sensitivity and specificity were 81.4% and 81.4%, respectively. The parameter intra-tumor VI was the choice for all of the histogram indices in differentiating between malignant and benign lesions. CONCLUSION: The decision model, which was composed of patient age, tumor volume and intra-tumor VI, and a cut-off value for intra-tumor VI at the upper end of patient age and tumor volume, was recommended in clinical application.
机译:目的:作者在谐波三维(3D)功率多普勒成像中评估了良性和恶性实体乳腺肿瘤的特征,并提出了对良性和恶性乳腺肿瘤进行分类的决策模型。材料与方法:共分析了86幅恶性和97幅良性谐波3D功率多普勒US图像。使用配备有RSP 6-12换能器和组织谐波成像模态的Voluson730 US系统(GE,Zipf,奥地利)获得了所有谐波3D功率多普勒图像。使用虚拟器官计算机辅助分析(VOCAL)成像程序执行成像分析。对于肿瘤内和围绕乳腺肿瘤的外部厚度为3mm的壳,计算直方图指数,血管化指数(VI),流动指数(FI)和血管化流动指数(VFI)。计算接收器工作特性(ROC)曲线以估计诊断性能。结果:结果表明,决策模型的选择包括患者年龄,肿瘤内VI和肿瘤体积等参数,以对乳腺良恶性肿瘤进行分类。 ROC曲线下的面积(Az)为0.910,准确度为81.4%,灵敏度和特异性分别为81.4%和81.4%。在区分恶性和良性病变方面,所有肿瘤直方图指标均选择肿瘤内VI参数。结论:该决策模型由患者年龄,肿瘤体积和肿瘤内VI以及患者年龄和肿瘤体积上限的肿瘤内VI的临界值组成,被推荐用于临床。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号