CT Attenuation Map-Derived Body Composition Is Associated with Cardiorespiratory Fitness in Multicenter External Validation.

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Bibliographic Details
Title: CT Attenuation Map-Derived Body Composition Is Associated with Cardiorespiratory Fitness in Multicenter External Validation.
Authors: Miller RJH; Artificial Intelligence in Medicine Research Center, Departments of Biomedical Sciences, Medicine, and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.; Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada., Yi J; Artificial Intelligence in Medicine Research Center, Departments of Biomedical Sciences, Medicine, and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States., Shanbhag A; Artificial Intelligence in Medicine Research Center, Departments of Biomedical Sciences, Medicine, and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.; Signal and Image Processing Institute, Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA., Patel K; Department of Medicine (Cardiology) and Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Ruddy TD; Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada., Einstein AJ; Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, New York, United States., Feher A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States., Miller EJ; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States., Liang JX; Artificial Intelligence in Medicine Research Center, Departments of Biomedical Sciences, Medicine, and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States., Ramirez G; Artificial Intelligence in Medicine Research Center, Departments of Biomedical Sciences, Medicine, and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States., Slipczuk L; Cardiology Division, Montefiore Health System/Albert Einstein College of Medicine, NY, USA., Travin MI; Department of Radiology (Nuclear Medicine), Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, USA., Alexanderson E; Department of Nuclear Cardiology, Ignacio Chavez National Institute of Cardiology, Mexico City, Mexico., Carvajal-Juarez I; Department of Nuclear Cardiology, Ignacio Chavez National Institute of Cardiology, Mexico City, Mexico., Packard RRS; Division of Cardiology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA., Al-Mallah M; Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Academic Institute, Houston, TX, USA., Acampa W; Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy., Knight S; Intermountain Medical Center Heart Institute, Intermountain Healthcare, Murray, UT, USA., Le VT; Intermountain Medical Center Heart Institute, Intermountain Healthcare, Murray, UT, USA., Mason S; Intermountain Medical Center Heart Institute, Intermountain Healthcare, Murray, UT, USA., Wopperer S; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA., Chareonthaitawee P; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA., Buechel RR; Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland., Rosamond TL; Department of Cardiovascular Medicine, The University of Kansas Medical Center, Kansas City, KS, USA., Berman DS; Artificial Intelligence in Medicine Research Center, Departments of Biomedical Sciences, Medicine, and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States., Dey D; Artificial Intelligence in Medicine Research Center, Departments of Biomedical Sciences, Medicine, and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States., Di Carli MF; Cardiovascular Imaging Program, Departments of Radiology and Medicine; Division of Nuclear Medicine and Molecular Imaging, Department of Radiology; and Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA., Slomka PJ; Artificial Intelligence in Medicine Research Center, Departments of Biomedical Sciences, Medicine, and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2026 May 08. Date of Electronic Publication: 2026 May 08.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
DOI:10.64898/2026.05.07.26352573