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Authors
Lee, Matthew H. https://orcid.org/0000-0001-8500-0306
Zea, Ryan
Garrett, John W.
Summers, Ronald M.
Pickhardt, Perry J.
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Article History
Received: 4 January 2024
Revised: 27 April 2024
Accepted: 31 May 2024
First Online: 12 July 2024
Compliance with ethical standards
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: The scientific guarantor of this publication is M.H.L., MD.
: The authors of this manuscript declare relationships with the following companies: Dr. Pickhardt serves as an advisor to Bracco and Nanox; Dr. Summers receives royalties from iCAD, PingAn, Philips, Translation Holdings, and ScanMed and research support from PingAn and NVIDIA.
: One of the authors, Mr. Zea, has significant statistical expertise.
: Written informed consent was waived by the Institutional Review Board.
: Institutional Review Board approval was obtained.
: Some study subjects or cohorts have been previously reported in prior studies comparing the predictive value of our panel of fully automated CT-based measures with clinical tools for predicting cardiometabolic risk. Importantly, however, we feel our work is unique and innovative in the following ways: we uncover trends in abdominal fat deposition and ectopic fat deposition associated with increased mortality and cardiometabolic disease risk, which can be readily derived from existing CT data for additional value-added “opportunistic” screening. Our fully automated AI tools address a need and have the potential to improve standardization and methodological heterogeneity and decrease barriers to clinical implementation. The “U-shaped” relationship we observed for survival and subcutaneous fat provides new insight into the so-called “obesity paradox,” whereby more favorable outcomes are observed in overweight and obese patients.
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