Anti-HER2 therapy response assessment for guiding treatment (de-)escalation in early HER2-positive breast cancer using a novel deep learning radiomics model.

Journal: European radiology
PMID:

Abstract

OBJECTIVES: Anti-HER2 targeted therapy significantly reduces risk of relapse in HER2 + breast cancer. New measures are needed for a precise risk stratification to guide (de-)escalation of anti-HER2 strategy.

Authors

  • Yiwei Tong
    Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China.
  • Zhaoyu Hu
    School of Information Science and Technology, Fudan University, Shanghai, China.
  • Haoyu Wang
    North Carolina State University, Department of Statistics, Raleigh, North Carolina, USA.
  • Jiahui Huang
  • Ying Zhan
    Department of Nuclear Medicine, General Hospital of Northern Theater Command, Shenyang, Liaoning, 110016, China; College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, 110167, China.
  • Weimin Chai
    Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Yinhui Deng
    Department of Electronic Engineering, Fudan University, Shanghai, 200433, China. yinhuideng@fudan.edu.cn.
  • Ying Yuan
    Department of Radiology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. Electronic address: yuany83@163.com.
  • Kunwei Shen
    Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China.
  • Yuanyuan Wang
    Department of Biotechnology, College of Life Science and Technology, Jinan University Guangzhou, 510632, China.
  • Xiaosong Chen
    Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China. chenxiaosong0156@hotmail.com.
  • Jinhua Yu
    Department of Electronic Engineering, Fudan University, Shanghai, 200433, China. jhyu@fudan.edu.cn.