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Articles Published Processes
11/26/2018 12:48:17 AM | Browse: 924 | Download: 1307
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Received |
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2018-07-16 02:38 |
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Peer-Review Started |
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2018-07-17 07:00 |
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To Make the First Decision |
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2018-08-01 03:08 |
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Return for Revision |
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2018-08-07 02:04 |
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Revised |
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2018-09-04 10:49 |
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Second Decision |
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2018-09-12 10:27 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2018-10-09 21:18 |
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Articles in Press |
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2018-10-09 21:18 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2018-11-21 02:03 |
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Publish the Manuscript Online |
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2018-11-26 00:48 |
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) 2018. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Cardiac & Cardiovascular Systems |
Manuscript Type |
Review |
Article Title |
Clinical applications of feature-tracking cardiac magnetic resonance imaging
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Manuscript Source |
Invited Manuscript |
All Author List |
Daniele Muser, Simon A Castro, Pasquale Santangeli and Gaetano Nucifora |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Gaetano Nucifora, MD, PhD, Associate Professor, Doctor, Doctor, NorthWest Cardiac Imaging Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester M23 9LT, United Kingdom. gaetano.nucifora@flinders.edu.au |
Key Words |
Left ventricular ejection fraction; Cardiac magnetic resonance; Cardiovascular disease; Strain; Feature-tracking |
Core Tip |
Cardiac magnetic resonance feature tracking analysis is progressively establishing its role as an accurate tool to for quantitative evaluation of cardiovascular function by directly evaluating myocardial fiber deformation. Feature-tracking derived strain parameters are able to identify subtle myocardial abnormalities before overt clinical manifestation thus allowing early diagnosis of primitive cardiomyopathies, identification of cardiac involvement in systemic diseases, detection of drug-related cardiac toxicity as well as risk stratification and monitor of treatment effects in patients with heart failure of various etiology. The present article summarizes the basic principles, current applications and future perspectives of cardiovascular magnetic resonance myocardial feature tracking. |
Publish Date |
2018-11-26 00:48 |
Citation |
Muser D, Castro SA, Santangeli P, Nucifora G. Clinical applications of feature-tracking cardiac magnetic resonance imaging. World J Cardiol 2018; 10(11): 210-221 |
URL |
http://www.wjgnet.com/1949-8462/full/v10/i11/210.htm |
DOI |
http://dx.doi.org/10.4330/wjc.v10.i11.210 |
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