A cutting-edge deep learning-and-radiomics-based ultrasound nomogram for precise prediction of axillary lymph node metastasis in breast cancer patients ≥ 75 years.

Journal: Frontiers in endocrinology
PMID:

Abstract

OBJECTIVE: The objective of this study was to develop a deep learning-and-radiomics-based ultrasound nomogram for the evaluation of axillary lymph node (ALN) metastasis risk in breast cancer patients ≥ 75 years.

Authors

  • Lang Qian
    Department of Medical Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Xihui Liu
  • Shichong Zhou
    Department of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
  • Wenxiang Zhi
    Department of Medical Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Kai Zhang
    Anhui Province Key Laboratory of Respiratory Tumor and Infectious Disease, First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
  • Haoqiu Li
    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Jiawei Li
    School of Chemistry & Chemical Engineering, College of Guangling, Yangzhou University Yangzhou 225002 PR China zhuxiashi@sina.com.
  • Cai Chang
    Department of Ultrasound, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.