Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [F]-fluorodeoxyglucose positron emission tomography/computed tomography.

Journal: European radiology
Published Date:

Abstract

BACKGROUND: We designed a deep learning model for assessing F-FDG PET/CT for early prediction of local and distant failures for patients with locally advanced cervical cancer.

Authors

  • Wei-Chih Shen
    Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan.
  • Shang-Wen Chen
    Department of Radiation Oncology, China Medical University Hospital, Taichung, Taiwan.
  • Kuo-Chen Wu
    Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan.
  • Te-Chun Hsieh
    Department of Nuclear Medicine and PET Center, China Medical University Hospital, Taichung, Taiwan.
  • Ji-An Liang
    Department of Radiation Oncology, China Medical University Hospital, Taichung, Taiwan.
  • Yao-Ching Hung
    School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
  • Lian-Shung Yeh
    School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
  • Wei-Chun Chang
    School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
  • Wu-Chou Lin
    School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan.
  • Kuo-Yang Yen
    Department of Nuclear Medicine and PET Center, China Medical University Hospital, Taichung, Taiwan.
  • Chia-Hung Kao
    Graduate Institute of Biomedical Sciences, China Medical University, Taichung.