Biopsy or Follow-up: AI Improves the Clinical Strategy of US BI-RADS 4A Breast Nodules Using a Convolutional Neural Network.

Journal: Clinical breast cancer
Published Date:

Abstract

OBJECTIVES: To develop predictive nomograms based on clinical and ultrasound features and to improve the clinical strategy for US BI-RADS 4A lesions.

Authors

  • Mei Yi
    Department of Ultrasound, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Yue Lin
    Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
  • Zehui Lin
    National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China.
  • Ziting Xu
    Department of Ultrasound, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong Province, P. R. China.
  • Lian LI
  • Ruobing Huang
    Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK. Electronic address: ruobing.huang@eng.ox.ac.uk.
  • Weijun Huang
  • Nannan Wang
  • Yanling Zuo
    Department of Ultrasound Imaging, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
  • Nuo Li
    Department of Ultrasound, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Dong Ni
  • Yanyan Zhang
    College of Command Information System, PLA University of Science and Technology, Nanjing 210007, China.
  • Yingjia Li
    Department of Ultrasound, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong Province, P. R. China. lyjia@smu.edu.cn.