A Multicenter Cohort Study on Ultrasound-based Deep Learning Nomogram for Predicting Post-Neoadjuvant Chemotherapy Axillary Lymph Node Status in Breast Cancer Patients.

Journal: Academic radiology
PMID: 39406583

Abstract

RATIONALE AND OBJECTIVES: The aim of this study was to evaluate the capability of an ultrasound (US)-based deep learning (DL) nomogram for predicting axillary lymph node (ALN) status after neoadjuvant chemotherapy (NAC) in breast cancer patients and its potential to assist radiologists in diagnosis.

Authors

  • Shuhan Sun
    Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
  • Yajing Chen
    College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China.
  • Yutong Liu
    School of Economics and Management, Communication University of China, Beijing 100024, China.
  • Cuiying Li
    Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
  • Shumei Miao
    Department of Information, The First Affiliated Hospital of Nanjing Medical University & Jiangsu Province Hospital, Nanjing, Jiangsu, China; Institute of Medical Informatics and Management, Nanjing Medical University, Nanjing, Jiangsu, China.
  • Bin Yang
    School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, PR China. Electronic address: yangbin@dlut.edu.cn.
  • Feihong Yu
    Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China. Electronic address: yu551437@126.com.

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