A clinical application of deep learning reconstructed LGE combined with coronary calcification scoring in coronary artery disease

Preclinical disease is primarily assessed through the coronary artery calcium score (CACS) and used for risk assessment, screening CACS is a reliable indicator for the assessment of coronary artery disease in our study, FWHM analysis of PSMDEDL and PSMDEO showed moderate correlation between the percentage of enhancement area and CACS, beneficial for check-up with less imaging time and low radiation screening. This finding should be further validated in a larger sample size. Moreover, threshold techniques such as 2SD to 5SD were sensitive to signal intensity and should be concerned for analysis on deep-learning reconstructed images, especially missing detection rate.