Artificial intelligence measured 3D lumbosacral body composition and clinical outcomes in rectal cancer patients.

Journal: ANZ journal of surgery
PMID: 39601410

Abstract

INTRODUCTION: Patient body composition (BC) has been shown to help predict clinical outcomes in rectal cancer patients. Artificial intelligence algorithms have allowed for easier acquisition of BC measurements, creating a comprehensive BC profile in patients using data from an entire three-dimensional (3D) region of the body. This study has utilized AI technology to measure BC from the entire lumbosacral (L1-S5) region and assessed the associations between BC and clinical outcomes in rectal cancer patients who have undergone neoadjuvant therapy followed by surgery.

Authors

  • Matthew Wei
    Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Australia.
  • Wei Hong
    Department of Geriatrics and Gerontology, Huadong Hospital, Affiliated with Fudan University, Shanghai, China.
  • Ke Cao
    The Third Xiangya Hospital, Central South University, Changsha, China.
  • Matthew Loft
    Gibbs Lab, Walter and Eliza Hall Institute, Melbourne, Australia.
  • Peter Gibbs
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Justin M Yeung
    Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Victoria, Australia.

Keywords

External Resources

Popular Topics
Recent Journals