BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
5/21/2015 1:54:00 PM | Browse: 920 | Download: 1480
 |
Received |
|
2014-09-15 09:15 |
 |
Peer-Review Started |
|
2014-09-17 17:14 |
 |
To Make the First Decision |
|
2014-10-14 17:30 |
 |
Return for Revision |
|
2014-10-20 08:08 |
 |
Revised |
|
2015-01-01 03:02 |
 |
Second Decision |
|
2015-03-16 17:35 |
 |
Accepted by Journal Editor-in-Chief |
|
|
 |
Accepted by Executive Editor-in-Chief |
|
2015-04-02 15:50 |
 |
Articles in Press |
|
2015-04-02 15:50 |
 |
Publication Fee Transferred |
|
|
 |
Edit the Manuscript by Language Editor |
|
|
 |
Typeset the Manuscript |
|
2015-05-04 13:50 |
 |
Publish the Manuscript Online |
|
2015-05-21 13:54 |
ISSN |
1949-8462 (online) |
Open Access |
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2015. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Radiology, Nuclear Medicine & Medical Imaging |
Manuscript Type |
Case Control Study |
Article Title |
Quantification of epicardial fat: Which method can predict significant coronary artery disease?
|
Manuscript Source |
Unsolicited Manuscript |
All Author List |
Zizi Saad, Mohamed El-Rawy, Ragab H Donkol and Sami Boghattas |
Funding Agency and Grant Number |
|
Corresponding Author |
Ragab H Donkol, MD, Radiology Department, Aseer Central Hospital, Abha, Saudi Arabia and Faculty of Medicine, Cairo University, PO Box 34, Giza 12411, Egypt. ragabhani@hotmail.com |
Key Words |
Quantification of epicardial fat; Coronary heart disease; Epicardial fat volume |
Core Tip |
There is a great correlation between the volume of epicardial fat and presence of significant coronary artery disease. There are different methods for quantification of epicardial fat volume (EFV). The aim of the study is to compare the predictive value of the three methods used for quantification of epicardial fat (EFV, EFV indexed with body surface area and EFV indexed with body mass index) for presence of significant coronary artery disease. The study concluded the three methods for assessment of epicardial fat have the same equivalent predictive value for significant coronary artery disease and any one of them can be used as a sensitive predictor for significant coronary artery disease. |
Publish Date |
2015-05-21 13:54 |
Citation |
Saad Z, El-Rawy M, Donkol RH, Boghattas S. Quantification of epicardial fat: Which method can predict significant coronary artery disease? World J Cardiol 2015; 7(5): 287-292 |
URL |
http://www.wjgnet.com/1949-8462/full/v7/i5/287.htm |
DOI |
http://dx.doi.org/10.4330/wjc.v7.i5.287 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345