Cited by 2,224Body Composition Measurement TechniquesNutrition and Health in AgingMedical Imaging Techniques and Applications

A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care

Mourtzakis, Marina, Prado, Carla M.M., Lieffers, Jessica R., Reiman, Tony, McCargar, Linda J., Baracos, Vickie E.·2008·Applied Physiology, Nutrition, and Metabolism

Abstract

Human body composition is important in numerous cancer research domains. Our objective was to evaluate clinically accessible methods to achieve practical and precise measures of body composition in cancer patients. Dual-energy X-ray absorptiometry (DXA)-based analysis of fat and fat-free mass was performed in 50 cancer patients and compared with bioelectrical impedance analysis (BIA) and with regional computed tomography (CT) images available in the patients’ medical records. BIA overestimated or underestimated fat-free mass substantially compared with DXA as the method of reference (up to 9.3 kg difference). Significant changes in fat-free mass over time detected with DXA in a subset of 21 patients (+2.2 ± 3.2%/100 days, p = 0.003), was beyond the limits of detection of BIA. Regional analysis of fat and fat-free tissue at the 3rd lumbar vertebra with either DXA or CT strongly predicted whole-body fat and fat-free mass (r = 0.86–0.94; p < 0.001). CT images provided detail on specific muscles, adipose tissues and organs, not provided by DXA or BIA. CT presents great practical significance due to the prevalence of these images in patient diagnosis and follow-up, thus marrying clinical accessibility with high precision to quantify specific tissues and to predict whole-body composition.

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Crossref · 10.1139/h08-075

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  • The amount of bone mass and muscle mass peaks around 30 years old, and after that, a gradual loss of muscle mass is accompanied with a parallel gain of fat mass.

    “Meanwhile, studies have validated that the amount of bone mass and muscle mass peak around 30 years old, and after that, a gradual loss of muscle mass is accompanied with a parallel gain of fat mass (14).”

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References 42 · Cited by 2,224

Authors
Mourtzakis, M., Prado, C. M. M., Lieffers, J. R., Reiman, T., McCargar, L. J., & Baracos, V. E.
Affiliations
University of Alberta (CA)
Venue
Applied Physiology, Nutrition, and Metabolism
Published
2008-10
Volume
33
Issue
5
Pages
997-1006
ISSN
  • 1715-5312 (ISSN-L)
  • 1715-5320
OpenAlex
W2101398993
Cited by
2,224
References
42
Citations by year
2026: 188 · 2025: 189 · 2024: 201 · 2023: 182 · 2022: 225 · 2021: 238 · 2020: 196 · 2019: 198 · 2018: 156 · 2017: 108 · 2016: 92 · 2015: 80 · 2014: 68 · 2013: 39 · 2012: 23
FWCI
8.35
Type
journal article
Language
en
Open access
closed
Locations
  • Applied Physiology, Nutrition, and Metabolism (publishedVersion)
  • PubMed (publishedVersion)
Funders
Canadian Institutes of Health Research
Topics
  • Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
Keywords
body composition, cancer patients, fat-free mass, fat mass, dual-energy X-ray absorptiometry, bioelectrical impedance analysis, muscle mass, adipose tissue
MeSH terms
Adipose Tissue, Aged, Body Composition, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Neoplasms, Tomography, X-Ray Computed, Absorptiometry, Photon, Electric Impedance, Muscle, Skeletal

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