Radiogenomic and Deep Learning Network Approaches to Predict Mutation from Radiotherapy Plan CT.

Journal: Anticancer research
Published Date: Aug 1, 2021

Abstract

BACKGROUND/AIM: We aimed to investigate the role of radiogenomic and deep learning approaches in predicting the KRAS mutation status of a tumor using radiotherapy planning computed tomography (CT) images in patients with locally advanced rectal cancer.

Authors

  • Bum-Sup Jang
    Department of Radiation Oncology, Seoul National University Hospital, Seoul, Korea.
  • Changhoon Song
    Department of Radiation Oncology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Sung-Bum Kang
    Department of Surgery, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Jae-Sung Kim
    Oral Biology Research Institute, College of Dentistry, Chosun University, Gwangju, Republic of Korea.

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