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Myocarditis and inflammatory cardiomyopathy represent a broad spectrum of myocardial inflammatory disorders with highly variable clinical presentations and outcomes, ranging from spontaneous recovery to progressive heart failure, malignant arrhythmias, and sudden cardiac death. Despite advances in clinical management, risk assessment in this population remains challenging due to heterogeneous disease mechanisms, dynamic disease courses, and limited tools for individualized prognostic stratification. Biopsy-proven myocarditis has been reported to be associated with a long-term mortality rate of up to 19.2% over 4.7 years.
Cardiac Magnetic Resonance Imaging (CMR) has become a central imaging modality for the evaluation of myocardial inflammation, offering comprehensive assessment of cardiac structure, function, and tissue characteristics. Beyond conventional parameters such as ventricular volumes and ejection fraction, advanced CMR techniques, including late gadolinium enhancement and parametric mapping, enable noninvasive characterization of myocardial injury, edema, and fibrosis. Emerging quantitative and distribution-based imaging markers further expand the potential of CMR to capture myocardial heterogeneity.
However, the clinical implications of diverse CMR phenotypes in myocarditis and inflammatory cardiomyopathy, particularly their value for outcome prediction and risk stratification, remain incompletely defined. This study aims to systematically evaluate CMR-derived phenotypes and their association with clinical outcomes, and to explore the role of CMR in improving risk stratification strategies in patients with myocarditis and inflammatory cardiomyopathy. Where available, genetic data will be integrated to explore potential relationships between CMR phenotypes and underlying genetic variations, further informing disease characterization and risk assessment.
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5,000 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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