Fully automated epicardial adipose tissue volume and density measured from non-contrast CT predict major adverse cardiovascular events in asymptomatic subjects

Mcelhinney P, Eisenberg E, Commandeur F, Chen X, Cadet S, Göller M, Cantu S, Miller R, Slomka P, Wong N, Rozanski A, Achenbach S, Tamarappoo BK, Berman D, Dey D (2019)

Publication Type: Conference contribution

Publication year: 2019

Journal

European Heart Journal Oxford University Press

Publisher: OXFORD UNIV PRESS

City/Town: OXFORD

Pages Range: 3763-3763

Conference Proceedings Title: EUROPEAN HEART JOURNAL

Event location: Paris FR

DOI: 10.1093/eurheartj/ehz746.0757

Authors with CRIS profile

Markus Göller Department of Medicine 2 – Cardiology and Angiology Stephan Achenbach Lehrstuhl für Innere Medizin II

Involved external institutions

Cedars-Sinai Medical Center US United States (USA) (US) University of California Irvine US United States (USA) (US) St. Luke's - Roosevelt Hospital Center US United States (USA) (US)

How to cite

APA:

Mcelhinney, P., Eisenberg, E., Commandeur, F., Chen, X., Cadet, S., Göller, M.,... Dey, D. (2019). Fully automated epicardial adipose tissue volume and density measured from non-contrast CT predict major adverse cardiovascular events in asymptomatic subjects. In EUROPEAN HEART JOURNAL (pp. 3763-3763). Paris, FR: OXFORD: OXFORD UNIV PRESS.

MLA:

Mcelhinney, P., et al. "Fully automated epicardial adipose tissue volume and density measured from non-contrast CT predict major adverse cardiovascular events in asymptomatic subjects." Proceedings of the ESC Congress / World Congress of Cardiology, Paris OXFORD: OXFORD UNIV PRESS, 2019. 3763-3763.

BibTeX: Download