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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
Published on: February 12, 2011
Left atrial and left ventricular strain in feature-tracking cardiac magnetic resonance for predicting patients at
Xinyu Zhu1, Ying Shi1, Jianxiu Lian2
1Department of Magnetic Resonance, the First Affiliated Hospital of Harbin Medical University, Harbin, China.
Sudden cardiac death (SCD) risk in hypertrophic cardiomyopathy (HCM) can be identified using left atrial (LA) and left ventricular (LV) strain analysis via feature-tracking cardiac magnetic resonance (FT-CMR). This method aids in stratifying patients for potential interventions like implantable cardioverter-defibrillators (ICDs).
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Sudden cardiac death (SCD) is a severe complication of hypertrophic cardiomyopathy (HCM).
- Risk stratification for SCD in HCM patients is challenging, with uncertain utility of myocardial strain analysis.
- Feature-tracking cardiac magnetic resonance (FT-CMR) can assess left atrial (LA) and left ventricular (LV) strain.
Purpose of the Study:
- To investigate LA and LV strain attenuation in HCM using FT-CMR.
- To assess the predictive value of LA and LV strain for SCD risk stratification in HCM patients.
Main Methods:
- Retrospective and cross-sectional study of HCM patients undergoing 3.0 T cardiac magnetic resonance (CMR).
- Feature-tracking strain analysis to obtain LV strain, strain rate (SR), and LA strain (LARS, LACS, LA booster strain).
- Patients stratified into high- and low-risk SCD groups based on 2020 AHA/ACC guidelines; statistical comparisons and multivariate logistic regression performed.
Main Results:
- High-risk SCD group showed lower LVEF, LVSVI, LASVI and higher LVESVI, LV maximum wall thickness, LGE compared to low-risk group (P<0.001).
- Significant differences in LV strain, SR, and LA strain between groups (LARS P=0.04, LACS P=0.02, others P<0.001).
- LV global radial strain (LVGRS) and LARS were independent predictors of high SCD risk (OR=0.69, P<0.001; OR=1.39, P=0.03). Combined LVGRS-LARS model showed superior diagnostic value (AUC=0.95).
Conclusions:
- FT-CMR derived LA and LV strain accurately identify HCM patients at high risk for SCD.
- This strain analysis approach can guide early therapeutic interventions, including ICD implantation.
- Improved risk stratification may prevent adverse clinical outcomes in HCM patients.
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