| Background: Mediastinal and epicardial adipose tissue are correlated with several adverse metabolic effects and cardiovascular diseases, especially coronary artery disease (CAD). The manual measurement of these fats is widely done in clinical practice due to its human efficacy. As a result, the automated measurement of heart fats could be considered as one of the most important biomarkers for cardiovascular risks in imaging and medical visualization by physicians.
Methods: In this cross-sectional study, two non-contrast CT datasets were used, twenty patients to design an algorithm for heart fat measurement and one hundred and twenty patients to examine the relationship among CAD and volume of heart fats using coronary artery calcium scoring assessment.
Results: In examining the correlation among CAD and volume of heart fats, stenosis of coronary artery was severe in 11 patients (9.2%), moderate in 15 patients (14.2%), mild in 17 patients (14.2%), and healthy subjects in 77 cases (64.2%). The heart fat measurement was performed with an accuracy of 99.2% and the best threshold obtained epicardial fat volume (EFV) of 140 ml and mediastinal fat volume (MFV) of 94 ml for having the most correlation. In addition, with the increment in severity of CAD, there is a considerable increment at heart fat volume, a significant linear correlation among coronary artery stenosis and MFV (r = 0.36; p < 0.001) and EFV (r = 0.322; p < 0.001).
Conclusions: As a result, heart fat tissues could be utilized as a trustworthy biomarker tool to predict the extent of CAD stenosis. |