Literature DB >> 23452994

Quantification of epicardial fat by computed tomography: why, when and how?

Mohamed Marwan1, Stephan Achenbach.   

Abstract

In the past decade, interest has grown in the relation between epicardial fat and cardiovascular disease. Several imaging modalities such as echocardiography, computed tomography, and magnetic resonance imaging can be used to quantify epicardial adipose tissue. Computed tomography provides high spatial resolution and true volume coverage of the heart; therefore, it constitutes an attractive approach to quantifying epicardial fat. An increasing body of evidence has been accumulated which shows a relation between epicardial fat volume and coronary atherosclerosis, cardiovascular outcomes, and even non-atherosclerotic heart disease such as atrial fibrillation. The association of increased epicardial fat volume with cardiac disease remains significant even after correction for weight, body mass index, and traditional cardiovascular risk factors. The mechanisms have not been reliably identified, but metabolic properties of epicardial fat may play a role. At the present time, epicardial fat quantification is not included in recommended algorithms for risk stratification. However, the available data are intriguing enough to warrant further research.
Copyright © 2013 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23452994     DOI: 10.1016/j.jcct.2013.01.002

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  16 in total

1.  Is the epicardial adipose tissue area on non-ECG gated low-dose chest CT useful for predicting coronary atherosclerosis in an asymptomatic population considered for lung cancer screening?

Authors:  Kyu-Chong Lee; Hwan Seok Yong; Jaewook Lee; Eun-Young Kang; Jin Oh Na
Journal:  Eur Radiol       Date:  2018-06-28       Impact factor: 5.315

2.  Editorial in response to: PET/CT evaluation of 18F-FDG uptake in pericoronary adipose tissue in patients with stable coronary artery disease: Independent predictor of atherosclerotic lesion formation? : Is there prognostic value in evaluation of 18F-FDG uptake in the pericoronary adipose tissue?

Authors:  Stephanie L Thorn; Albert J Sinusas
Journal:  J Nucl Cardiol       Date:  2016-03-14       Impact factor: 5.952

3.  Lack of association between epicardial fat volume and extent of coronary artery calcification, severity of coronary artery disease, or presence of myocardial perfusion abnormalities in a diverse, symptomatic patient population: results from the CORE320 multicenter study.

Authors:  Yutaka Tanami; Masahiro Jinzaki; Satoru Kishi; Matthew Matheson; Andrea L Vavere; Carlos E Rochitte; Marc Dewey; Marcus Y Chen; Melvin E Clouse; Christopher Cox; Sachio Kuribayashi; Joao A C Lima; Armin Arbab-Zadeh
Journal:  Circ Cardiovasc Imaging       Date:  2015-03       Impact factor: 7.792

4.  Poor Correlation, Reproducibility, and Agreement Between Volumetric Versus Linear Epicardial Adipose Tissue Measurement: A 3D Computed Tomography Versus 2D Echocardiography Comparison.

Authors:  Nitesh Nerlekar; Yi-Wei Baey; Adam J Brown; Rahul G Muthalaly; Damini Dey; Balaji Tamarappoo; James D Cameron; Thomas H Marwick; Dennis T Wong
Journal:  JACC Cardiovasc Imaging       Date:  2018-01-17

5.  Evaluation of Echocardiographic Epicardial Fat Thickness as a Sign of Cardiovascular Risk in Positive Exercise Test Patients.

Authors:  Hüseyin Katlandur; Şeref Ulucan; Hüseyin Özdil; Ahmet Keser; Zeynettin Kaya; Kerem Özbek; M Sıddık Ülgen
Journal:  Acta Cardiol Sin       Date:  2016-11       Impact factor: 2.672

6.  Epicardial fat volume measured on nongated chest CT is a predictor of coronary artery disease.

Authors:  Yasunori Nagayama; Naoki Nakamura; Ryo Itatani; Seitaro Oda; Shinichiro Kusunoki; Hideo Takahashi; Takeshi Nakaura; Daisuke Utsunomiya; Yasuyuki Yamashita
Journal:  Eur Radiol       Date:  2019-03-11       Impact factor: 5.315

7.  Quantification of epicardial adipose tissue in coronary calcium score and CT coronary angiography image data sets: comparison of attenuation values, thickness and volumes.

Authors:  Ludovico La Grutta; Patrizia Toia; Alfonso Farruggia; Domenico Albano; Emanuele Grassedonio; Antonella Palmeri; Erica Maffei; Massimo Galia; Salvatore Vitabile; Filippo Cademartiri; Massimo Midiri
Journal:  Br J Radiol       Date:  2016-03-18       Impact factor: 3.039

8.  Quantification of epicardial fat: Which method can predict significant coronary artery disease?

Authors:  Zizi Saad; Mohamed El-Rawy; Ragab H Donkol; Sami Boghattas
Journal:  World J Cardiol       Date:  2015-05-26

9.  Epicardial adipose tissue in long-term hemodialysis patients: its association with vascular calcification and long-term development.

Authors:  Xoana Barros; Timm Dirrichs; Ralf Koos; Sebastian Reinartz; Nadine Kaesler; Rafael Kramann; Ulrich Gladziwa; Markus Ketteler; Jürgen Floege; Nikolaus Marx; José V Torregrosa; András Keszei; Vincent M Brandenburg
Journal:  J Nephrol       Date:  2015-08-08       Impact factor: 3.902

10.  Automated quantification of epicardial adipose tissue using CT angiography: evaluation of a prototype software.

Authors:  James V Spearman; Felix G Meinel; U Joseph Schoepf; Paul Apfaltrer; Justin R Silverman; Aleksander W Krazinski; Christian Canstein; Carlo Nicola De Cecco; Philip Costello; Lucas L Geyer
Journal:  Eur Radiol       Date:  2013-11-06       Impact factor: 5.315

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