Automated three-dimensional body composition analysis identifies visceral adipose tissue radiodensity as a predictor of mortality and recurrence in colorectal cancer.

Journal: Clinical nutrition (Edinburgh, Scotland)
Published Date:

Abstract

BACKGROUND: Artificial intelligence enables automated three-dimensional (3D) volumetric body composition (BC) analysis from computed tomography (CT), opposed to single third lumbar vertebra (L3) slices alone. This study aimed to identify relationships between 3D BC and postoperative colorectal cancer (CRC) outcomes utilising Voronoi Health Analytics' Data Analysis Facilitation Suite software.

Authors

  • Dinh Van Chi Mai
    St Mark's Hospital and Academic Institute, St Mark's The National Bowel Hospital, Central Middlesex Hospital, Acton Ln, NW10 7NS, London, United Kingdom; Department of Surgery and Cancer, Imperial College London, United Kingdom. Electronic address: dinh@doctors.org.uk.
  • Ioanna Drami
    St Mark's Hospital and Academic Institute, St Mark's The National Bowel Hospital, Central Middlesex Hospital, Acton Ln, NW10 7NS, London, United Kingdom; Department of Digestion, and Reproduction, Imperial College London, United Kingdom.
  • Edward T Pring
    St Mark's Hospital and Academic Institute, St Mark's The National Bowel Hospital, Central Middlesex Hospital, Acton Ln, NW10 7NS, London, United Kingdom; Department of Surgery and Cancer, Imperial College London, United Kingdom.
  • Laura Gould
    St Mark's Hospital and Academic Institute, St Mark's The National Bowel Hospital, Central Middlesex Hospital, Acton Ln, NW10 7NS, London, United Kingdom; School of Cancer Sciences, College of Veterinary & Life Sciences, University of Glasgow, United Kingdom.
  • Jason Rai
    St Mark's Hospital and Academic Institute, St Mark's The National Bowel Hospital, Central Middlesex Hospital, Acton Ln, NW10 7NS, London, United Kingdom; Department of Surgery and Cancer, Imperial College London, United Kingdom.
  • George Malietzis
    St Mark's Hospital and Academic Institute, St Mark's The National Bowel Hospital, Central Middlesex Hospital, Acton Ln, NW10 7NS, London, United Kingdom; Department of Surgery and Cancer, Imperial College London, United Kingdom; Mediterranean Hospital, Limassol, Cyprus.
  • Phillip Lung
    St Mark's Hospital and Academic Institute, St Mark's The National Bowel Hospital, Central Middlesex Hospital, Acton Ln, NW10 7NS, London, United Kingdom; Department of Surgery and Cancer, Imperial College London, United Kingdom.
  • Vincent Chow
    School of Engineering Science, Simon Fraser University, Canada.
  • Karteek Popuri
    Simon Fraser University, School of Engineering Science, Burnaby BC V5A 1S6, Canada.
  • Mirza F Beg
    School of Engineering Science, Simon Fraser University, Vancouver, British Columbia, Canada; Voronoi Health Analytics Incorporated, Vancouver, British Columbia, Canada.
  • Thanos Athanasiou
  • John T Jenkins
    St Mark's Hospital and Academic Institute, St Mark's The National Bowel Hospital, Central Middlesex Hospital, Acton Ln, NW10 7NS, London, United Kingdom; Department of Surgery and Cancer, Imperial College London, United Kingdom.