Artificial intelligence generated 3D body composition predicts dose modifications in patients undergoing neoadjuvant chemotherapy for rectal cancer.

Journal: Journal of cancer research and clinical oncology
PMID: 40379920

Abstract

PURPOSE: Chemotherapy administration is a balancing act between giving enough to achieve the desired tumour response while limiting adverse effects. Chemotherapy dosing is based on body surface area (BSA). Emerging evidence suggests body composition plays a crucial role in the pharmacokinetic and pharmacodynamic profile of cytotoxic agents and could inform optimal dosing. This study aims to assess how lumbosacral body composition influences adverse events in patients receiving neoadjuvant chemotherapy for rectal cancer.

Authors

  • Alex Besson
    Department of Surgery - Western Precinct, The University of Melbourne, Melbourne, VIC, Australia.
  • Ke Cao
    The Third Xiangya Hospital, Central South University, Changsha, China.
  • Ahmed Mardinli
    Department of Surgery - Western Precinct, The University of Melbourne, Melbourne, VIC, Australia.
  • Lara Wirth
    Department of Surgery - Western Precinct, The University of Melbourne, Melbourne, VIC, Australia.
  • Josephine Yeung
    Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Victoria, Australia.
  • Rory Kokelaar
    Department of Surgery - Western Precinct, The University of Melbourne, Melbourne, VIC, 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.
  • Fiona Reid
    Department of Surgery - Western Precinct, The University of Melbourne, Melbourne, VIC, Australia.
  • Justin M Yeung
    Department of Surgery, Western Precinct, University of Melbourne, Melbourne, Victoria, Australia.

Keywords

External Resources

Popular Topics
Recent Journals