Additional file 1 of Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study
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- Lin, Andrew; Wong, Nathan D.; Aryabod Razipour; McElhinney, Priscilla A.; Commandeur, Frederic; Cadet, Sebastien J.; Gransar, Heidi; Chen, Xi; Cantu, Stephanie; Miller, Robert J. H.; Nitesh Nerlekar; Wong, Dennis T. L.; Slomka, Piotr J.; Rozanski, Alan; Balaji K. Tamarappoo; Berman, Daniel S.; Dey, Damini
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Additional file 1: Table S1. Relationship of EAT measures with individual components of the MetS. Table S2. Relationship of EAT measures with presence of MetS in multivariable logistic regression. Table S3. Relationship of EAT measures with NAFLD in multivariable logistic regression. Table S4. Levels of serum biomarkers according to the presence vs absence of MetS or NAFLD. Figure S1. Case example of artificial intelligence-based regional EAT quantification. Figure S2. Case example of liver and spleen attenuation measurement on noncontrast CT.