» Articles » PMID: 27009468

Cardiovascular Magnetic Resonance Myocardial Feature Tracking: Concepts and Clinical Applications

Overview
Date 2016 Mar 25
PMID 27009468
Citations 173
Authors
Affiliations
Soon will be listed here.
Abstract

Heart failure-induced cardiovascular morbidity and mortality constitute a major health problem worldwide and result from diverse pathogeneses, including coronary artery disease, nonischemic cardiomyopathies, and arrhythmias. Assessment of cardiovascular performance is important for early diagnosis and accurate management of patients at risk of heart failure. During the past decade, cardiovascular magnetic resonance myocardial feature tracking has emerged as a useful tool for the quantitative evaluation of cardiovascular function. The method allows quantification of biatrial and biventricular mechanics from measures of deformation: strain, torsion, and dyssynchrony. The purpose of this article is to review the basic principles, clinical applications, accuracy, and reproducibility of cardiovascular magnetic resonance myocardial feature tracking, highlighting the prognostic implications. It will also provide an outlook on how this field might evolve in the future.

Citing Articles

The impact of anemia on left ventricular function and deformation in patients with essential hypertension: a cardiac magnetic resonance study.

Hu B, Yang Z, Tang S, Wen X, Yan W, Yu S Quant Imaging Med Surg. 2025; 15(2):1332-1345.

PMID: 39995714 PMC: 11847192. DOI: 10.21037/qims-24-1768.


Insights from serial cardiovascular magnetic resonance imaging show early progress in diastolic dysfunction relates to impaired right ventricular deformation.

Backhaus S, Schulz A, Lange T, Rosel S, Schmidt-Schweda L, Kutty S Sci Rep. 2025; 15(1):4090.

PMID: 39900615 PMC: 11791045. DOI: 10.1038/s41598-025-87032-5.


Evaluating pulmonary stenosis and regurgitation impact on cardiac strain and strain rate in a porcine model via magnetic resonance feature tracking.

Rosel S, Backhaus S, Lange T, Schulz A, Kowallick J, Gowda K Int J Cardiovasc Imaging. 2025; 41(2):257-268.

PMID: 39843561 PMC: 11811483. DOI: 10.1007/s10554-024-03305-6.


Machine learning-based interpretation of non-contrast feature tracking strain analysis and T1/T2 mapping for assessing myocardial viability.

GhaffariJolfayi A, Salmanipour A, Heshmat-Ghahdarijani K, MozafaryBazargany M, Azimi A, Pirouzi P Sci Rep. 2025; 15(1):753.

PMID: 39755814 PMC: 11700106. DOI: 10.1038/s41598-024-85029-0.


Myocardial mechanical function measured by cardiovascular magnetic resonance in patients with heart failure.

Gao Y, Li B, Ma Y, Liang S, Yu A, Zhang H J Cardiovasc Magn Reson. 2024; 26(2):101111.

PMID: 39433255 PMC: 11647510. DOI: 10.1016/j.jocmr.2024.101111.