Cardiac magnetic resonance (CMR) is the gold standard for the diagnostic classification and risk stratification in most patients with cardiac disorders. The aim of the present study was to investigate the ability of Strain-encoded MR (SENC) for the prediction of major adverse cardiovascular events (MACE).

This study investigated the use of layer-specific fast strain-encoded cardiac magnetic resonance imaging (fSENC) for diagnosing and prognosticating acute myocardial injury in emergency department patients. It found that global longitudinal strain (GLS) and GLSdifference (the difference between epicardial and endocardial GLS) were effective predictors, with GLS showing a high diagnostic accuracy (AUC 91.8%) for myocardial injury. GLSdifference performed well in identifying non-ST-elevation myocardial infarction (NSTEMI) specifically (AUC 83.2%), and combining these measures with assessment of dysfunctional segments improved diagnostic performance further (AUC 87.5%). Incorporating fSENC into standard care enhanced overall diagnostic accuracy significantly (AUC 95.5%) compared to conventional methods alone. The study suggests that layer-specific strain analysis could serve as a valuable diagnostic tool for acute myocardial injuries, offering insights into prognosis and potentially guiding clinical management.

Several studies show a low (1-3%) but real risk of myocarditis in competitive athletes after SARS-CoV-2 infection.