Deep learning-quantified body composition from positron emission tomography/computed tomography and cardiovascular outcomes: a multicentre study
Volumetric body tissue composition can be obtained rapidly and automatically from standard cardiac PET/CT. This new information provides a detailed, quantitative assessment of sarcopenia and cardiometabolic health for physicians.
Authors
- Aakash Dhananjay Shanbhag (ORCID: https://orcid.org/0000-0001-5199-3071)
- Panithaya Chareonthaitawee (ORCID: https://orcid.org/0000-0002-3811-8712)
- Jolien Geers (ORCID: https://orcid.org/0000-0003-1109-5191)
- Samuel B. Wopperer (ORCID: https://orcid.org/0009-0001-4281-629X)
- Damini Dey (ORCID: https://orcid.org/0000-0003-2236-6970)
- Krishna Patel (ORCID: https://orcid.org/0000-0003-0512-8444)
- Anna Marcinkiewicz (ORCID: https://orcid.org/0000-0003-4494-3724)
- Jirong Yi (ORCID: https://orcid.org/0000-0002-3106-4715)
- Marcelo F. Di Carli (ORCID: https://orcid.org/0000-0003-3119-025X)
- Mark A. Lemley (ORCID: https://orcid.org/0000-0002-2944-0582)
- Piotr J. Slomka (ORCID: https://orcid.org/0000-0002-6110-938X)
- Daniel S. Berman (ORCID: https://orcid.org/0000-0002-3793-9578)
- Robert J H Miller
- Giselle Ramirez (ORCID: https://orcid.org/0009-0004-3730-5075)
Institutions
- University of Southern California (US)
- Cedars-Sinai Medical Center (US)
- Brigham and Women's Hospital (US)
- Ministry of Internal Affairs of the Republic of Tajikistan (TJ)
- Vrije Universiteit Brussel (BE)
- University of Calgary (CA)
- Mayo Clinic in Arizona (US)
- Universitair Ziekenhuis Brussel (BE)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- European Heart Journal
- Published
- 2025-03-30
- DOI
- https://doi.org/10.1093/eurheartj/ehaf131
- Citations
- 18
- Primary Topic
- Cardiovascular Disease and Adiposity
- Type
- article
- Field-Weighted Citation Impact
- 24.99
Funders
- National Institutes of Health
- National Heart, Lung, and Blood Institute
- National Institute of Biomedical Imaging and Bioengineering