Biventricular imaging markers to predict outcomes in non ‐compaction cardiomyopathy: a machine learning study

ConclusionsOur findings show the importance of biventricular assessment to detect the severity of this cardiomyopathy and to plan for early clinical intervention. In addition, this study shows that even patients with normal LV function and negative late gadolinium enhancement had MACE. ML is a promising tool for analysing a large set of parameters to stratify and predict prognosis in LVNC patients.

Source: ESC Heart Failure - June 29, 2020 Category: Cardiology Authors: Camila Rocon, Mahdi Tabassian, Marcelo Dantas Tavares de Melo, Jose Arimateia Araujo Filho, Cesar Jos é Grupi, Jose Rodrigues Parga Filho, Edimar Alcides Bocchi, Jan D'hooge, Vera Maria Cury Salemi Tags: Original Research Article Source Type: research