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

Zhang，Huiting1; Dong，Yijie1; Jia，Xiaohong1; Zhang，Jingwen1; Li，Zhiyao2; Chuan，Zhirui2; Xu，Yanjun3; Hu，Bin4; Huang，Yunxia5; Chang，Cai5; Xu，Jinfeng6; Dong，Fajin6; Xia，Xiaona7; Wu，Chengrong7; Hu，Wenjia8; Wu，Gang8; Li，Qiaoying9; Chen，Qin10; Deng，Wanyue10; Jiang，Qiongchao11; Mou，Yonglin12; Yan，Huannan12; Xu，Xiaojing13; Yan，Hongju13; Zhou，Ping14; Shao，Yang14; Cui，Ligang15; He，Ping15; Qian，Linxue16; Liu，Jinping16; Shi，Liying17; Zhao，Yanan18; Xu，Yongyuan18; Song，Yanyan19; Zhan，Weiwei1; Zhou，Jianqiao1

2022-03-10

10.3389/fonc.2022.830910

Frontiers in Oncology   影响因子和分区

2234-943X

2234-943X

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

breast neoplasms elasticity imaging techniques lymphatic metastasis risk assessment ultrasonography

SCI

英语

其他

National Natural Science Foundation of China[82071928];

Oncology

Oncology

WOS:000776748800001

FRONTIERS MEDIA SA

2-s2.0-85127429892

Scopus

1.Department of Ultrasound,Ruijin Hospital,Shanghai Jiaotong University School of Medicine,Shanghai,China
2.Department of Medical Ultrasound,Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University,Kunming,China
3.Department of Ultrasound in Medicine,Shanghai Jiao Tong University Affiliated Sixth People’s Hospital,Shanghai Institute of Ultrasound in Medicine,Shanghai,China
4.Department of Ultrasound,Minhang Hospital,Fudan University,Shanghai,China
5.Department of Ultrasonography,Fudan University Shanghai Cancer Center,Shanghai Medical College,Fudan University,Shanghai,China
6.Department of Ultrasound,Shenzhen People’s Hospital,The Second Clinical Medical College,Jinan University,and The First Affiliated Hospital,Southern University of Science and Technology,Shenzhen,China
7.Department of Ultrasound Medicine,Xi’an, Xi’an,China
8.Department of Ultrasound,People’s Hospital of Henan Province,Zhengzhou,China
9.Department of Ultrasound Diseases,Tangdu Hospital,Four Military Medical University,Xi’an,China
10.Department of Ultrasound,Sichuan Provincial People’s Hospital,University of Electronic Science and Technology of China,Chengdu,China
11.Department of Ultrasound,Sun Yat-sen Memorial Hospital,Sun Yat-sen University,Guangzhou,China
12.Department of Ultrasound,General Hospital of Northern Theater Command,Shenyang,China
13.Department of Ultrasound,Hangzhou First People’s Hospital,Zhejiang University School of Medicine,Hangzhou,China
14.Department of Ultrasound,The Third Xiangya Hospital of Central South University,Changsha,China
15.Department of Ultrasound,Peking University Third Hospital,Beijing,China
16.Department of Ultrasound,Beijing Friendship Hospital,Capital Medical University,Beijing,China
17.Department of Ultrasound,Affiliated Hospital of Guizhou Medical University,Guizhou,China
18.Department of Ultrasound,Second Affiliated Hospital of Zhejiang University,School of Medicine,Hangzhou,China
19.Department of Biostatistics,Institute of Medical Sciences,Shanghai Jiaotong University School of Medicine,Shanghai,China

Zhang，Huiting,Dong，Yijie,Jia，Xiaohong,等. 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[J]. Frontiers in Oncology,2022,12.

Zhang，Huiting.,Dong，Yijie.,Jia，Xiaohong.,Zhang，Jingwen.,Li，Zhiyao.,...&Zhou，Jianqiao.(2022).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.Frontiers in Oncology,12.

Zhang，Huiting,et al."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".Frontiers in Oncology 12(2022).