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.
Multi-Parametric Non-Contrast Cardiac Magnetic Resonance for the Differentiation Between Cardiac Amyloidosis and Hypertrophic Cardiomyopathy
The study aimed to assess fast strain-encoded (SENC) cardiac magnetic resonance (CMR) and native T1 mapping in distinguishing between hypertrophic cardiomyopathy (HCM) and cardiac amyloidosis. Ninety-nine patients (57 with HCM, 42 with amyloidosis) were analyzed for LV parameters, myocardial strain (global and segmental), and T1 values. HCM patients showed evenly