A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care
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.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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).”
From Diabetes and Sarcopenic Obesity: Pathogenesis, Diagnosis, and Treatments (2020) · cites this paper as [14]
The citation lists haven’t been fetched yet
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
- Publisher
- Canadian Science Publishing
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review