A cardiac lesion detected at ultrasonography might turn out to be a normal structure, a benign tumor or rarely a malignancy, and lesion characterization is very important to appropriately manage the lesion itself. The exact relationship of the mass with coronary arteries and the knowledge of possible concomitant coronary artery disease are necessary preoperative information. Moreover, the increasingly performed coronary CT angiography to evaluate non-invasively coronary artery disease leads to a rising number of incidental findings.
View Article and Find Full Text PDFWith the regional law n. 26 of December 30, 2020, the Friuli Venezia Giulia Region wanted to promote the establishment of the Regional Register of Sudden Cardiac Death, with the aim of favoring the study of all those deaths that occurred suddenly and unexpectedly under the age of 50 years in which it is not possible to trace the cause of death with certainty. Such dramatic events, difficult to quantify considering the complexity of data collection, are often accepted with resignation without any further investigation of the possible causes.
View Article and Find Full Text PDFBackground: Typical late gadolinium enhancement (LGE) patterns in dilated cardiomyopathy (DCM) include intramyocardial and subepicardial distribution. However, the ischemic pattern of LGE (subendocardial and transmural) has also been reported in DCM without coronary artery disease (CAD), but its correlates and prognostic significance are still not known. On these bases, this study sought to describe the prevalence and prognostic significance of the ischemic LGE pattern in DCM.
View Article and Find Full Text PDFLeft ventricular global longitudinal strain (GLS) by cardiac magnetic resonance feature tracking (CMR-FT) analysis has shown an incremental prognostic value compared to classical parameters in non-ischemic dilated cardiomyopathy (NICM). However, less is known about the role of right ventricular (RV) GLS. Our objective was to evaluate the prognostic impact of RV-GLS by CMR-FT analysis in a population of NICM patients.
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