Comprehensive Risk System Based on Shear Wave Elastography and BI-RADS Categories in Assessing Axillary Lymph Node Metastasis of Invasive Breast Cancer—A Multicenter Study

• DOI: 10.3389/fonc.2022.830910
• Publication Date: 2022-03-10T13:23:58Z
• Authors: Huiting Zhang; Yijie Dong; Xiaohong Jia; Jingwen Zhang; Zhiyao Li; Zhirui Chuan; Yanjun Xu; Bin Hu; Yunxia Huang; Cai Chang; Jinfeng Xu; Fajin Dong; Xiaona Xia; Chengrong Wu; Wenjia Hu; Gang Wu; Qiaoying Li; Qin Chen; Wanyue Deng; Qiongchao Jiang; Yonglin Mou; Huannan Yan; Xiaojing Xu; Hongju Yan; Ping Zhou; Yang Shao; Ligang Cui; Ping He; Linxue Qian; Jinping Liu; Liying Shi; Yanan Zhao; Yongyuan Xu; Yanyan Song; Weiwei Zhan; Jianqiao Zhou
• Keywords: BI-RADS; Axillary lymph nodes

To develop a risk stratification system that can predict axillary lymph node (LN) metastasis in invasive breast cancer based on the combination of shear wave elastography (SWE) and conventional ultrasound. A total 619 participants pathologically diagnosed with underwent ultrasound examinations were recruited from multicenter 17 hospitals China August 2016 to 2017. Conventional SWE features compared between positive negative LN groups. The regression equation, weighting, counting methods used metastasis. sensitivity, specificity, areas under receiver operating characteristic curve (AUC) calculated. significant difference was found Breast Imaging Reporting Data System (BI-RADS) category, "stiff rim" sign, minimum elastic modulus internal tumor peritumor region 3 mm groups (p < 0.05 for all). There no diagnostic performance > Using method, 0-4 grade four characteristics established, which yielded an AUC 0.656 (95% CI, 0.617-0.693, p 0.001), sensitivity 54.60% 46.9%-62.1%), specificity 68.99% 64.5%-73.3%) predicting developed BI-RADS categories, this has potential metastases cancer.