A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Jul 5, 2023

Abstract

BACKGROUND: Dynamic contrast-enhanced (DCE) MRI commonly outperforms diffusion-weighted (DW) MRI in breast cancer discrimination. However, the side effects of contrast agents limit the use of DCE-MRI, particularly in patients with chronic kidney disease.

Authors

  • Xin-Xiang Zhou
    Imaging Center, Harbin Medical University Cancer Hospital, Harbin, China.
  • Lan Zhang
    Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
  • Quan-Xiang Cui
    Imaging Center, Harbin Medical University Cancer Hospital, Harbin, China.
  • Hui Li
    Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Xi-Qiao Sang
    Division of Respiratory Disease, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Hong-Xia Zhang
    Department of Ultrasound, Beijing Tian Tan Hospital, Capital Medical University, Beijing 100070, China.
  • Yue-Min Zhu
    University Lyon, INSA Lyon, CNRS, INSERM, CREATIS UMR 5220, U1206, F-69621, Lyon, France.
  • Zi-Xiang Kuai
    Imaging Center, Harbin Medical University Cancer Hospital, Harbin, China.

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