Deep Learning-Based Multiparametric MRI Model for Preoperative T-Stage in Rectal Cancer.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Jun 27, 2023

Abstract

BACKGROUND: Conventional MRI staging can be challenging in the preoperative assessment of rectal cancer. Deep learning methods based on MRI have shown promise in cancer diagnosis and prognostication. However, the value of deep learning in rectal cancer T-staging is unclear.

Authors

  • Yaru Wei
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Haojie Wang
    Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong.
  • Zhongwei Chen
    Department of Radiology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Ying Zhu
    China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Yingfa Li
    Key Laboratory of Intelligent Medical Imaging of Wenzhou, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Beichen Lu
    The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
  • Kehua Pan
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Caiyun Wen
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325035, China.
  • Guoquan Cao
    Department of Radiology, Key Laboratory of Intelligent Medical Imaging of Wenzhou, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Yun He
    Metanotitia Inc., Shenzhen, China.
  • Jiejie Zhou
    Department of Radiology, First Affiliate Hospital of Wenzhou Medical University, Wenzhou, China.
  • Zhifang Pan
    Information Technology Center, Wenzhou Medical University, 325035, China.
  • Meihao Wang
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, PR China.

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