Imaging of Body Composition.
Journal
Seminars in musculoskeletal radiology
ISSN: 1098-898X
Titre abrégé: Semin Musculoskelet Radiol
Pays: United States
ID NLM: 9717520
Informations de publication
Date de publication:
Oct 2024
Oct 2024
Historique:
medline:
16
10
2024
pubmed:
16
10
2024
entrez:
15
10
2024
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 39406222
doi: 10.1055/s-0044-1788887
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
594-609Informations de copyright
Thieme. All rights reserved.
Déclaration de conflit d'intérêts
None declared.