Study on predicting breast cancer Ki-67 expression using a combination of radiomics and deep learning based on multiparametric MRI.

Journal: Magnetic resonance imaging
Published Date: May 11, 2025

Abstract

PURPOSE: To develop a multiparametric breast MRI radiomics and deep learning-based multimodal model for predicting preoperative Ki-67 expression status in breast cancer, with the potential to advance individualized treatment and precision medicine for breast cancer patients.

Authors

  • Wenjiang Wang
    Hebei North University, Zhangjiakou, Hebei, 075000, China.
  • Zimeng Wang
    Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China. Electronic address: zimengw@fudan.edu.cn.
  • Lei Wang
    Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Jiaojiao Li
    State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China. Electronic address: jjli@xidian.edu.cn.
  • Zhiying Pang
    Department of Medical Imaging, Affiliated First Hospital of Hebei North University, No. 12 Changqing Road, Qiaoxi District, Zhangjiakou 075000, Hebei, China.
  • Yingwu Qu
    Department of Medical Imaging, Affiliated First Hospital of Hebei North University, No. 12 Changqing Road, Qiaoxi District, Zhangjiakou 075000, Hebei, China.
  • Shujun Cui
    Department of Medical Imaging, The First Affiliated Hospital of Hebei North University, 12 Changqing Road, Zhangjiakou, Hebei, 075000, China.

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