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 [PMID: 30510638 DOI: 10.4330/wjc.v10.i11.210]
Corresponding Author of This Article
Gaetano Nucifora, MD, PhD, Associate Professor, Doctor, NorthWest Cardiac Imaging Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester M23 9LT, United Kingdom. gaetano.nucifora@flinders.edu.au
Research Domain of This Article
Cardiac & Cardiovascular Systems
Article-Type of This Article
Review
Open-Access Policy of This Article
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/
World J Cardiol. Nov 26, 2018; 10(11): 210-221 Published online Nov 26, 2018. doi: 10.4330/wjc.v10.i11.210
Clinical applications of feature-tracking cardiac magnetic resonance imaging
Daniele Muser, Simon A Castro, Pasquale Santangeli, Gaetano Nucifora
Daniele Muser, Simon A Castro, Pasquale Santangeli, Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, United States
Daniele Muser, Cardiothoracic Department, University Hospital of Udine, Udine 33100, Italy
Gaetano Nucifora, NorthWest Cardiac Imaging Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester M23 9LT, United Kingdom
Gaetano Nucifora, Flinders University, Bedford Park, Adelaide 5042, South Australia, Australia
Author contributions: All the authors have contributed significantly to the submitted work.
Conflict-of-interest statement: None.
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/
Corresponding author to: Gaetano Nucifora, MD, PhD, Associate Professor, Doctor, NorthWest Cardiac Imaging Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester M23 9LT, United Kingdom. gaetano.nucifora@flinders.edu.au
Telephone: +44-73-93633651 Fax: +44-73-93633638
Received: July 16, 2018 Peer-review started: July 17, 2018 First decision: July 31, 2018 Revised: September 4, 2018 Accepted: October 9, 2018 Article in press: October 9, 2018 Published online: November 26, 2018 Processing time: 133 Days and 14.8 Hours
Core Tip
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.
