Imaging of Body Composition.
| Autor: | Gazzotti S; Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy., Sassi R; Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy., Aparisi Gómez MP; Department of Radiology, Te Toka Tumai Auckland (Auckland District Health Board), Auckland, New Zealand.; Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, Waipapa Taumata Rau, University of Auckland, Auckland, New Zealand.; Department of Radiology, IMSKE, Valencia, Spain., Guglielmi R; Department of Radiology and Nuclear Medicine, Luzerner Kantonsspital, Lucerne, Switzerland., Vasilevska Nikodinovska V; Faculty of Medicine, Ss. Cyril and Methodius University, Skopje, North Macedonia.; Radiology Department, University Surgical Clinic St. Naum Ohridski, Skopje, Macedonia., Messina C; IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.; Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Milan, Italy., Guglielmi G; Department of Clinical and Experimental Medicine, Foggia University School of Medicine, Foggia, Italy.; Radiology Unit, 'Dimiccoli' Hospital, Barletta, Italy.; Radiology Unit, IRCCS 'Casa Sollievo della Sofferenza' Hospital, San Giovanni Rotondo, Italy., Bazzocchi A; Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy. |
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| Jazyk: | angličtina |
| Zdroj: | Seminars in musculoskeletal radiology [Semin Musculoskelet Radiol] 2024 Oct; Vol. 28 (5), pp. 594-609. Date of Electronic Publication: 2024 Oct 15. |
| DOI: | 10.1055/s-0044-1788887 |
| Abstrakt: | 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. Competing Interests: None declared. (Thieme. All rights reserved.) |
| Databáze: | MEDLINE |
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