Multiparametric MRI-Based Deep Learning Models for Preoperative Prediction of Tumor Deposits in Rectal Cancer and Prognostic Outcome.

Journal: Academic radiology
Published Date: Oct 22, 2024

Abstract

RATIONALE AND OBJECTIVES: To investigate the predictive value of a deep learning model based on multiparametric MRI (mpMRI) for tumor deposit (TD) in rectal cancer (RC) patients and to analyze their prognosis.

Authors

  • Weiqun Ao
    Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234 Gucui Road, Zhejiang Province, 310012, Hangzhou, China. 78123858@qq.com.
  • Neng Wang
    Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
  • Xu Chen
    School of Pharmaceutical Sciences, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
  • Sikai Wu
    Department of Hepatobiliary and Vascular Surgery, The First Affiliated Hospital, School of Clinical Medicine, Chengdu Medical College, Chengdu, Sichuan Province, P. R. China.
  • Guoqun Mao
    Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234 Gucui Road, Zhejiang Province, 310012, Hangzhou, China.
  • Jinwen Hu
    Department of Radiology, Shanghai Putuo District People's Hospital, Shanghai, China.
  • Xiaoyu Han
    Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Laboratory Medicine, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Shuitang Deng
    Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234 Gucui Road, Zhejiang Province, 310012, Hangzhou, China.

Keywords

External Resources

Popular Topics
Recent Journals