Multi-parameter MRI deep learning model for lymphovascular invasion assessment in invasive breast ductal carcinoma: A multicenter, retrospective study.

Journal: Clinical radiology
Published Date: Jun 25, 2025

Abstract

AIMS: To investigate the value of multi-parametric magnetic resonance imaging (MRI)-based deep learning (DL) in predicting the Lymphovascular Invasion (LVI) status of invasive breast ductal cancer (IBDC).

Authors

  • J Xu
    The Affiliated Wenling Hospital of Wenzhou Medial University, Wenling, China.
  • G Wang
  • Y Wei
    Department of Robotic Minimally Invasive Surgery Center, Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital, Chengdu 610072, China.
  • S Wu
    Department of Radiation Oncology, First Affiliated Hospital, Bengbu Medical College, Bengbu, Anhui 233004, China.
  • X Li
    1 School of Public Health, Capital Medical University, Beijing, China.
  • X Lv
    Department of Radiology, Linfen Central Hospital, Linfen, 041000, China. Electronic address: Lxbdbjlzy@163.com.
  • L Xia
    Department of Radiology, Sir RunRun Hospital, Nanjing Medical University, Nanjing, 211100, China. Electronic address: xialiangmr@126.com.
  • J Zhai
    Department of Radiology, The First Affiliated Hospital of Wannan Medical College (Yiji shan Hospital), Wuhu, 241000, China. Electronic address: yjszhaij@126.com.

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