Background: Risk assessment with coronary CTA is traditionally done with maximal stenosis, but this approach does not use the prognostic value of plaque extent, location and composition. This study assessed whether a comprehensive CTA risk model incorporating all aspects of coronary atherosclerosis provides better risk stratification than the commonly used CTA classification of no CAD, non-obstructive and obstructive CAD. Methods: Among 2255 patients with suspected or known CAD the predictive value of the CTA risk score (range from 0-42) was compared with the standard CTA classification. Three risk groups were created based on their best discriminatory performance: 0-5; 6-20; >20. Results: During a mean follow up of 3.6 ± 2.8 years 156 events (death or MI) occurred. Compared with the standard CTA classification, a stronger association with events was observed for the CTA risk score: adjusted HR for 6-20 was: 2.69 (95% CI: 1.55-4.68, P 20 By comparison, adjusted HR for non-obstructive CAD were 1.19 (95% CI: 0.61-2.29, P=0.613) and for obstructive CAD 2.52 (95% CI: 1.33-4.78, P=0.005), Figure 1. Adding the score to a model with clinical variables and the standard CTA classification increased the c-statistic from 0.756 to 0.781 (P15% Conclusion: A CTA risk model incorporating all aspects of CAD provides better discrimination and reclassification of events compared with the standard CTA scoring model including normal, non-obstructive and obstructive CAD. The proposed model allows more precise risk estimation which may further guide patient treatment.