Does CAD2 predict obstructive CAD?

This retrospective study seeks to evaluate the CAD Consortium (CAD2) model in a mixed Asian cohort within Singapore with stable chest pain and to evaluate the incremental value of CAC in predicting obstructive CAD. Patients who underwent cardiac computed tomography and had chest pain were included.

What is the prevalence of CAD?

This is comparable to a substudy of the PROMISE trial by Budoff et al., where this prevalence was 16%. 24 In a SCOT‐HEART substudy, Williams et al. found the presence of CAD in 17% of the CAC=0 cohort, with a 1% event rate at 5 years. 46 This low event rate may be attributed to the use of preventative medication in 44% of the group.

Can human expertise improve the diagnosis of CAD?

The results of this study demonstrate the potential for this approach to improve the diagnosis of CAD and highlight the importance of considering the role of human expertise in the development of computer-aided classification models.

Why are CAD-rads predictions unstable?

However, stacking slabs with sharp boundaries instead of mixing slabs in overlapping regions (called true stack ± 0.313 CAD-RADS) and increasing the sharpness of the reconstruction kernel (± 0.150 CAD-RADS) leads to unstable predictions.