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Twenty-First Century Advances in Multimodality Imaging of Obesity for Care of the Cardiovascular Patient
University of Texas Southwestern Medical Center, USA.
University of Texas Southwestern Medical Center, USA.
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). AMRA Medical AB, Linköping.ORCID iD: 0000-0002-6189-0807
University of Queensland School of Medicine, USA.
2021 (English)In: JACC Cardiovascular Imaging, ISSN 1936-878X, E-ISSN 1876-7591, Vol. 14, no 2, p. 482-494Article, review/survey (Refereed) Published
Abstract [en]

Although obesity is typically defined by body mass index criteria, this does not differentiate true body fatness, as this includes both body fat and muscle. Therefore, other fat depots may better define cardiometabolic and cardiovascular disease (CVD) risk imposed by obesity. Data from translational, epidemiological, and clinical studies over the past 3 decades have clearly demonstrated that accumulation of adiposity in the abdominal viscera and within tissue depots lacking physiological adipose tissue storage capacity (termed "ectopic fat") is strongly associated with the development of a clinical syndrome characterized by atherogenic dyslipidemia, hyperinsulinemia/glucose intolerance/type 2 diabetes mellitus, hypertension, atherosclerosis, and abnormal cardiac remodeling and heart failure. This state-of-the-art paper discusses the impact of various body fat depots on cardiometabolic parameters and CVD risk. Specifically, it reviews novel and emerging imaging techniques to evaluate adiposity and the risk of cardiometabolic diseases and CVD.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 14, no 2, p. 482-494
Keywords [en]
adiposity, cardiovascular disease, imaging techniques, multimodality imaging, obesity, waist circumference
National Category
Endocrinology and Diabetes
Identifiers
URN: urn:nbn:se:liu:diva-169058DOI: 10.1016/j.jcmg.2020.02.031ISI: 000632505400023PubMedID: 32305476OAI: oai:DiVA.org:liu-169058DiVA, id: diva2:1464648
Note

Funding: National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of HealthUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Institute of Diabetes & Digestive & Kidney Diseases (NIDDK) [K23 DK106520]; Dedman Family Scholarship in Clinical Care from UT Southwestern; Novo NordiskNovo Nordisk

Available from: 2020-09-07 Created: 2020-09-07 Last updated: 2022-05-24Bibliographically approved

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Dahlqvist Leinhard, Olof

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