Body composition is now recognized to have a major impact on health and disease. Imaging enables its analysis in an objective and quantitative way through diverse techniques such as dual-energy X-ray absorptiometry, computed tomography, magnetic resonance imaging, and ultrasonography. This review article first surveys the methodological aspects underpinning the use of these modalities to assess body composition, highlighting their strengths and limitations as well as the set of parameters that they measure and their clinical relevance. It then provides an update on the main applications of body composition imaging in current practice, with a focus on sarcopenia, obesity, lipodystrophies, cancer, and critical care. We conclude by considering the emerging role of artificial intelligence in the analysis of body composition, enabling the extraction of numerous metrics with the potential to refine prognostication and management across a number of pathologies, paving the way toward personalized medicine.
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http://dx.doi.org/10.1055/s-0044-1788887 | DOI Listing |
Ann Endocrinol (Paris)
January 2025
Assistance Publique Hôpitaux de Paris, Pituitary Unit, Pitié-Salpêtrière Hospital, 75013 Paris, France. Electronic address:
Background: Non-functional adrenal incidentaloma (NFAI) is associated with increased risk of adverse cardiometabolic outcome. Identifying predictors of atherosclerotic cardiovascular disease (ASCVD) may enable more appropriate management strategies in patients with NFAI. We aimed to investigate body composition parameters and ASCVD risk in patients with NFAI.
View Article and Find Full Text PDFFood Chem
December 2024
Atomic and Mass Spectrometry - A&MS Research Unit, Department of Chemistry, Ghent University, 9000 Ghent, Belgium. Electronic address:
The disruption of Cu homeostasis is associated with the pathogenesis of many diseases and can result in alterations in Cu isotope fractionation. Changes in the Cu isotope ratio (Cu/Cu) of body fluids and tissues have been observed in liver disorders, cancers, and other diseases, displaying diagnostic/prognostic potential. However, it is not entirely clear whether certain physiological or lifestyle factors may also influence the bodily Cu isotopic composition, potentially obfuscating the signature of the pathology.
View Article and Find Full Text PDFCancer Epidemiol Biomarkers Prev
January 2025
University of Alabama at Birmingham, Birmingham, AL, United States.
Background: The association between skeletal muscle and adipose tissue (body composition) and early response using positron emission tomography (PET) in pediatric Hodgkin lymphoma (HL) remains unstudied.
Methods: Patients enrolled on Children's Oncology Group studies AHOD0031 (intermediate-risk HL) and AHOD0831 (high-risk HL) with digital abdominal computed tomography (CT) scans at diagnosis and PET scans after 2 cycles (PET2) were included. Two consecutive slices at the third lumbar vertebra were identified and skeletal muscle index (SMI, in cm2/m2) and total adipose tissue index (TATI, in cm2/m2) were calculated using sliceOmatic (Magog, Canada) and height at diagnosis.
Br J Nutr
January 2025
SAMRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Although research on the relationship between lean body mass and blood pressure (BP) has been inconsistent, most studies reported that measures of lean body mass are associated with a higher risk of hypertension. We explored relationships between body composition (fat and skeletal muscle mass) and BP in 1162 young adult African women. DXA-derived measures of whole body, central and arm fat mass were associated with higher systolic and diastolic BP, while leg fat percentage was associated with lower systolic and diastolic BP.
View Article and Find Full Text PDFAnn Transl Med
December 2024
Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
Background: Osteoarthritis (OA) is increasingly thought to be a multifactorial disease in which sustained gut inflammation serves as a continued source of inflammatory mediators driving degenerative processes at distant sites such as joints. The objective of this study was to use the equine model of naturally occurring obesity associated OA to compare the fecal microbiome in OA and health and correlate those findings to differential gene expression synovial fluid (SF) cells, circulating leukocytes and cytokine levels (plasma, SF) towards improved understanding of the interplay between microbiome and immune transcriptome in OA pathophysiology.
Methods: Feces, peripheral blood mononuclear cells (PBMCs), and SF cells were isolated from healthy skeletally mature horses (n=12; 6 males, 6 females) and those with OA (n=6, 2 females, 4 males).
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