Combined use of strain elastography and superb microvascular imaging with grayscale ultrasound according to the BI-RADS classification for differentiating benign from malignant solid breast masses
Combined use of strain elastography and superb microvascular imaging with grayscale ultrasound according to the BI-RADS classification for differentiating benign from malignant solid breast masses
复制标题
根据 BI-RADS 分类，结合使用应变弹性成像和卓越的微血管成像与灰度超声来区分乳腺良性和恶性实性肿块
DOI：
10.3233/ch-190693
复制
发表时间：
2020-01-01
影响因子：
2.1
通讯作者：
Luo, Baoming
中科院分区：
文献类型：
--
作者：
Liang, Ming;Ou, Bing;Luo, Baoming
目的：根据乳腺影像报告和数据系统（BI-RADS）分类，评估应变弹性成像（SE）和超微血管成像（SMI）与灰度超声（US）的结合使用，以区分良恶性乳腺肿块。方法：2016年4月至2017年9月期间，总共纳入了166名患者，共177个乳腺肿块，分类为BI-RADS 3-5。US，SMI和 SE 来评估每个质量。 US 与 US、SMI 和 SE 组合之间的以下结果指标进行了比较：受试者工作特征曲线下面积 (AUC)、敏感性、特异性。 结果：US 中添加 SMI 和 SE 将 AUC 从 0.816 增加到 0.948（P
OBJECTIVE: To evaluate the combined use of strain elastography (SE) and superb microvascular imaging (SMI) with grayscale ultrasound (US) according to the Breast Imaging Reporting and Data System (BI-RADS) classification for differentiating benign from malignant breast masses.METHODS: In total, 166 patients with 177 breast masses categorized as BI-RADS 3-5 were included in the study between April 2016 to September 2017. US, SMI and SE were performed to evaluate each mass. The following outcome measures were compared between US and the combinations of US, SMI, and SE: area under the receiver operating characteristic curve (AUC), sensitivity, specificity.RESULTS: The addition of SMI and SE to US increased the AUC from 0.816 to 0.948 (P