Oral Presentation ESA-SRB-ANZBMS 2024 in conjunction with ENSA

Automated abdominal aortic calcification extent is inversely associated with thigh muscle composition and handgrip strength: the UK Biobank Imaging Study (#100)

Abadi K Gebre 1 , Cassandra Smith 1 2 , James Webster 3 , Afsah Saleem 1 4 , Syed Zulqarnain Gilani 1 4 5 , Parminder Raina 6 7 8 , Douglas P Kiel 9 , William D Leslie 10 , John T Schousboe 11 12 , John Kemp 13 , Richard L Prince 2 , Nicholas C Harvey 14 15 , Joshua R Lewis 1 2 , Marc Sim 1 2
  1. Nutrition & Health Innovation Research Institute, School of Medical and Health Sciences , Edith Cowan University, Perth, WA, Australia
  2. Medical School, The University of Western Australia, Perth, WA, Australia
  3. Applied Health Research Unit, Nuffield Department of Population Health, Oxford University, Oxford, UK
  4. Centre for Artificial Intelligence and Machine Learning, School of Science, Edith Cowan University, Perth, WA, Australia
  5. Department of Computer Science and Software Engineering, The University of Western Australia , Perth, WA, Australia.
  6. McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada
  7. Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
  8. Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Ontario, Canada
  9. Marcus Institute for Ageing Research, Hebrew SeniorLife, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
  10. Department of Radiology, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada
  11. Park Nicollet Clinic and HealthPartners Institute, HealthPartners, Minneapolis, USA
  12. Division of Health Policy and Management, University of Minnesota, Minneapolis, USA
  13. Mater Research Institute, University of Queensland, Brisbane, QLD, Australia
  14. MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
  15. NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
Publish consent withheld
  1. Dalla Via et al. machine‐learning assessed abdominal aortic calcification is associated with long‐term fall and fracture risk in community‐dwelling older Australian women. JBMR, 2023. 38 (12): p. 1867-76.
  2. Dai L et al. Defining reference values for body composition indices by magnetic resonance imaging in UK Biobank. Journal of Cachexia, Sarcopenia and Muscle, 2023. 14(2): p. 992-1002.
  3. Linge J et al. Adverse muscle composition predicts all-cause mortality in the UK Biobank imaging study. J Cachexia Sarcopenia Muscle, 2021. 12(6): p. 1513-1526.
  4. Cruz-Jentoft AJ et al. Sarcopenia: revised European consensus on definition and diagnosis. Age Ageing, 2019. 48(1): p. 16-31.