Bayesian approach to comparing the left ventricular volume in myocardial infarction and in normal cases

Abstract

AbstractIntroductionPost-contrast delayed-enhancement MRI helps to show the extent of myocardial infarction (MI), as well as allowing the morphometric analysis of the heart structure, e.g., left ventricular volume (LVV). Here the author deployed Bayesian implementation of statistical inference to determine the difference between the LVV in MI cases and in normal controls.MethodsSixty-seven MI patients and thirty-three controls from the EMIDEC dataset challenge were used. These were acquired at the University Hospital of Dijon (France). A cardiologist with 10 years of experience in cardiology and MRI and a biophysicist with 20 years of experience of cardiovascular MRI supervised the acquisition and annotated the images. ITK-Snap was used to extract the LVV and Bayesian inference were used to investigate the data.ResultsPatients with MI were younger than the controls (58.3 ± 11.5 vs. 66.5 ± 12.9 years; BF10 = 17.9). With age taken into consideration, the patients showed larger LVV relative to the controls (128.1 ± 46.3 vs. 83.4 ± 24.4 cm3; post-hoc BF10 = 12663.8).SummaryUsing Bayesian approach, we can conclude decisively that there is volumetric difference or remodeling in individuals with MI.