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Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model
Published on: August 8, 2022
Imaging-Based Risk Stratification for Sudden Cardiac Death in Hypertrophic Cardiomyopathy: Current Evidence and
Èlia Rifé-Pardo1, Sara Sóñora-López1, Guillem Casas1,2,3
1Department of Cardiology, Hospital Universitari Vall d'Hebron, 08035 Barcelona, Spain.
Medical Sciences (Basel, Switzerland)
|July 27, 2026
Summary
Hypertrophic cardiomyopathy (HCM) risk stratification for sudden cardiac death (SCD) is challenging. Cardiac imaging offers advanced predictors, improving risk assessment beyond conventional methods.
Area of Science:
- Cardiology
- Medical Imaging
- Genetics
Background:
- Hypertrophic cardiomyopathy (HCM) is a common inherited heart muscle disease.
- It is a leading cause of sudden cardiac death (SCD) across all ages.
- Current risk stratification methods for SCD in HCM are insufficient due to disease heterogeneity.
Purpose of the Study:
- To synthesize imaging-derived predictors of SCD in HCM.
- To review established and advanced cardiac imaging techniques for risk stratification.
- To highlight future directions for precision SCD risk assessment in HCM.
Main Methods:
- Review of established echocardiographic markers (wall thickness, ejection fraction, outflow tract obstruction).
- Examination of advanced cardiovascular magnetic resonance (CMR) parameters (late gadolinium enhancement, apical aneurysm).
- Discussion of emerging imaging biomarkers (extracellular volume, quantitative mapping, strain abnormalities).
Main Results:
- Cardiac imaging provides detailed structural, functional, and tissue data crucial for SCD prediction in HCM.
- Established echocardiographic and advanced CMR parameters are key predictors.
- Emerging techniques show promise for refining risk stratification.
Conclusions:
- Cardiac imaging is pivotal for improving SCD risk stratification in HCM.
- Integrating imaging biomarkers with pathophysiological mechanisms enhances precision.
- Further research is needed to fully leverage advanced imaging for HCM management.
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