Computational Identification of Ventricular Arrhythmia Risk in Pediatric Myocarditis.

ABSTRACT: Children with myocarditis have increased risk of ventricular tachycardia (VT) due to myocardial inflammation and remodeling. There is currently no accepted method for VT risk stratification in this population. We hypothesized that personalized models developed from cardiac late gadolinium enhancement magnetic resonance imaging (LGE-MRI) could determine VT risk in patients with myocarditis using a previously-validated protocol. Personalized three-dimensional computational cardiac models were reconstructed from LGE-MRI scans of 12 patients diagnosed with myocarditis. Four patients with clinical VT and eight patients without VT were included in this retrospective analysis. In each model, we incorporated a personalized spatial distribution of fibrosis and myocardial fiber orientations. Then, V

SUBMITTER: Cartoski MJ 

PROVIDER: S-EPMC6451890 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature