Deep learning to predict lymph node status on pre-operative staging CT in patients with colon cancer.

Journal: Journal of medical imaging and radiation oncology
Published Date:

Abstract

INTRODUCTION: Lymph node (LN) metastases are an important determinant of survival in patients with colon cancer, but remain difficult to accurately diagnose on preoperative imaging. This study aimed to develop and evaluate a deep learning model to predict LN status on preoperative staging CT.

Authors

  • Sergei Bedrikovetski
    Discipline of Surgery, Faculty of Health and Medical Science, School of Medicine, University of Adelaide, Adelaide, SA, Australia.
  • Jianpeng Zhang
  • Warren Seow
    Discipline of Surgery, Faculty of Health and Medical Science, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia.
  • Luke Traeger
    Discipline of Surgery, Faculty of Health and Medical Sciences, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia.
  • James W Moore
    Discipline of Surgery, Faculty of Health and Medical Science, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia; Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
  • Johan Verjans
  • Gustavo Carneiro
    Australian Centre for Visual Technologies, The University of Adelaide, Australia. Electronic address: gustavo.carneiro@adelaide.edu.au.
  • Tarik Sammour
    Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, SA, Australia. tarik.sammour@gmail.com.