Decoding Postinfarction Left Ventricular Pseudoaneurysm.

Recognizing from left ventricular aneurysm after myocardial infarction is paramount to guide clinical management and determine need for surgical urgency. We discuss a case of a postinfarction pseudoaneurysm that poses unique anatomic challenges and may hold a secret "DaVinci code" beyond current diagnostic criteria. ().

Predicting adverse cardiac events in sarcoidosis: deep learning from automated characterization of regional myocardial remodeling.

Recognizing early cardiac sarcoidosis (CS) imaging phenotypes can help identify opportunities for effective treatment before irreversible myocardial pathology occurs. We aimed to characterize regional CS myocardial remodeling features correlating with future adverse cardiac events by coupling automated image processing and data analysis on cardiac magnetic resonance (CMR) imaging datasets. A deep convolutional neural network (DCNN) was used to process a CMR database of a 10-year cohort of 117 consecutive biopsy-proven sarcoidosis patients.

Regional Myocardial Remodeling Characteristics Correlates With Cardiac Events in Sarcoidosis.

Background: The poor prognosis of cardiac sarcoidosis (CS) underscores the need for risk stratification.

Purpose: To investigate the prognostic significance of ventricular/myocardial remodeling features in sarcoidosis.

Study Type: Retrospective.

Atrial fibrosis in non-atrial fibrillation individuals and prediction of atrial fibrillation by use of late gadolinium enhancement magnetic resonance imaging.

Introduction: Besides the traditional concept of atrial fibrillation (AF) perpetuating atrial structural remodeling, there is increasing evidence that atrial fibrosis might precede AF, highlighting the need for better characterization of the fibrotic substrate. We aimed to assess atrial fibrosis by use of late gadolinium enhancement magnetic resonance imaging (LGE-MRI) in non-AF individuals and to identify predisposing risk factors. A second aim was to establish a risk score for the prevalence of AF using atrial fibrosis in addition to established clinical variables.