Bi-modal ultrasound radiomics and habitat analysis enhanced the pre-operative prediction of axillary lymph node burden in patients with early-stage breast cancer.

Journal: Frontiers in oncology
Published Date: May 29, 2025

Abstract

OBJECTIVE: This study aimed to evaluate the value of habitat analysis based bi-modal ultrasound radiomics in predicting axillary lymph node (ALN) status in patients with early-stage breast cancer, and find a non-invasive and accurate method to predict ALN status.

Authors

  • Jing Xu
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Pan Qi
    Department of medical ultrasound, Yueyang Central Hospital, Yueyang, China.
  • Xiaoyan Ou
    Department of medical ultrasound, Yueyang Central Hospital, Yueyang, China.
  • Qiaoxin Zhong
    Department of Artificial Intelligence, Julei Technology Company, Wuhan, China.
  • Zhen-Wen Chen
    Department of medical ultrasound, Yueyang Central Hospital, Yueyang, China.
  • Yin Wang
    State Key Laboratory of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China.
  • Aijiao Yi
    Department of medical ultrasound, Yueyang Central Hospital, Yueyang, China.
  • Bin Wang
    State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China; New South Wales Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga 2650, Australia. Electronic address: bin.a.wang@dpi.nsw.gov.au.

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