Pectoralis muscle predicts distant metastases in breast cancer by deep learning radiomics.

Journal: Acta radiologica (Stockholm, Sweden : 1987)
Published Date:

Abstract

BACKGROUND: Sarcopenia is associated with a poor prognosis in patients with breast cancer (BC). Currently, there are few quantitative assessments carried out between muscle biomarkers and distant metastasis using existing methods.

Authors

  • Shidi Miao
    School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China.
  • Yunfei An
    School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, PR China.
  • Pingping Liu
    The Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, and School of Mathematics, Southeast University, Nanjing 211189, China. Electronic address: pingpingliu@seu.edu.cn.
  • Shikai Mu
    School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, PR China.
  • Wenjin Zhou
    School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, PR China.
  • Haobo Jia
    School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China.
  • Wenjuan Huang
    Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.
  • Jing Li
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Ruitao Wang
    Department of Internal Medicine, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.