Unsupervised clustering of intraventricular hemodynamic forces for the phenotyping of left-ventricular function in non-ischemic left ventricular cardiomyopathy.

Background: Cardiac magnetic resonance (CMR) is essential for diagnosing cardiomyopathy, serving as the gold standard for assessing heart chamber volumes and tissue characterization. Hemodynamic forces (HDF) analysis, a novel approach using standard cine CMR images, estimates energy exchange between the left ventricular (LV) wall and blood. While prior research has focused on peak or mean longitudinal HDF values, this study aims to investigate whether unsupervised clustering of HDF curves can identify clinically significant patterns and stratify cardiovascular risk in non-ischemic LV cardiomyopathy (NILVC).

Demographic-Based Personalized Left Ventricular Hypertrophy Thresholds for Hypertrophic Cardiomyopathy Diagnosis.

Background: Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden cardiac death. Current diagnosis emphasizes the detection of left ventricular hypertrophy (LVH) using a fixed threshold of ≥15-mm maximum wall thickness (MWT). This study proposes a method that considers individual demographics to adjust LVH thresholds as an alternative to a 1-size-fits-all approach.

Estimating nonlinear anisotropic properties of healthy and aneurysm ascending aortas using magnetic resonance imaging.

An ascending aortic aneurysm is an often asymptomatic localized dilatation of the aorta. Aortic rupture is a life-threatening event that occurs when the stress on the aortic wall exceeds its mechanical strength. Therefore, patient-specific finite element models could play an important role in estimating the risk of rupture.

Left atrial strain in non-ischemic dilated cardiomyopathy in sinus rhythm: Prognostic implications and interrelationship with left ventricular deformation.

Background: Left atrial deformation analysis may identify patients at higher risk of adverse events in the setting of non-ischemic dilated cardiomyopathy (NIDCM). The purpose was to determine the association between peak longitudinal (PALS) and contraction (PACS) LA strain in NIDCM, accounting for left ventricular global longitudinal strain (LV-GLS).

Methods: Consecutive patients with NIDCM, sinus rhythm and LV ejection fraction (LVEF)<50 % were included.