Rahman ZU, Sethi P, Murtaza G, Virk HUH, Rai A, Mahmod M, Schoondyke J, Albalbissi K. Feature tracking cardiac magnetic resonance imaging: A review of a novel non-invasive cardiac imaging technique. World J Cardiol 2017; 9(4): 312-319 [PMID: 28515849 DOI: 10.4330/wjc.v9.i4.312]
Corresponding Author of This Article
Ghulam Murtaza, MD, Department of Internal Medicine, East Tennessee State University, 325 N State of Franklin Rd, Johnson City, TN 37064, United States. murtazag@etsu.edu
Research Domain of This Article
Cardiac & Cardiovascular Systems
Article-Type of This Article
Minireviews
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. Apr 26, 2017; 9(4): 312-319 Published online Apr 26, 2017. doi: 10.4330/wjc.v9.i4.312
Feature tracking cardiac magnetic resonance imaging: A review of a novel non-invasive cardiac imaging technique
Zia Ur Rahman, Pooja Sethi, Ghulam Murtaza, Hafeez Ul Hassan Virk, Aitzaz Rai, Masliza Mahmod, Jeffrey Schoondyke, Kais Albalbissi
Zia Ur Rahman, Pooja Sethi, Jeffrey Schoondyke, Kais Albalbissi, Department of Internal Medicine, Divison of Cardiology, East Tennessee State University, Johnson City, TN 37064, United States
Ghulam Murtaza, Department of Internal Medicine, East Tennessee State University, Johnson City, TN 37064, United States
Hafeez Ul Hassan Virk, Department of Internal Medicine, Icahn School of Medicine at Mount Sinai-St Luke’s West Hospitals, New York, NY 10029, United States
Aitzaz Rai, Masliza Mahmod, Department of Cardiovascular Medicine, University of Oxford, Oxford OX2HG, United Kingdom
Author contributions: Rahman ZU, Sethi P and Murtaza G performed the majority of the writing, prepared the figures and tables; Virk HUH and Rai A performed data accusation and writing; Mahmod M and Schoondyke J provided the input in writing the paper; Albalbissi K designed the outline and coordinated the writing of the paper.
Conflict-of-interest statement: There is no conflict of interest associated with any of the senior author or other coauthors contributed their efforts in this manuscript.
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/
Correspondence to: Ghulam Murtaza, MD, Department of Internal Medicine, East Tennessee State University, 325 N State of Franklin Rd, Johnson City, TN 37064, United States. murtazag@etsu.edu
Telephone: +1-423-7411863 Fax: +1-423-9794134
Received: December 22, 2016 Peer-review started: December 30, 2016 First decision: February 17, 2017 Revised: March 1, 2017 Accepted: March 23, 2017 Article in press: March 24, 2017 Published online: April 26, 2017 Processing time: 127 Days and 8.6 Hours
Abstract
Cardiovascular disease is a leading cause of morbidity and mortality globally. Early diagnostic markers are gaining popularity for better patient care disease outcomes. There is an increasing interest in noninvasive cardiac imaging biomarkers to diagnose subclinical cardiac disease. Feature tracking cardiac magnetic resonance imaging is a novel post-processing technique that is increasingly being employed to assess global and regional myocardial function. This technique has numerous applications in structural and functional diagnostics. It has been validated in multiple studies, although there is still a long way to go for it to become routine standard of care.
Core tip: Feature tracking cardiac magnetic resonance imaging (FT-CMR) is novel non-invasive imaging technique that is being used commonly in assessment of different cardiac disorders. FT-CMR utilizes standard steady-state free precession sequences and is simpler, more practical and easily available. It has been validated in multiple studies. The objective of our literature review is to look at the current literature regarding validation, normal and abnormal values, advantages and limitations of FT-CMR in research and clinical trials.
