Key result
Higher AI-derived CAC density linked to ~21% lower MACE risk per SD.
Why the study?
The study evaluated the prognostic value of coronary artery calcium volume and density derived from automated artificial intelligence-based analysis of non-electrocardiogram-gated chest CT.
Does higher coronary artery calcium density derived from non-electrocardiogram-gated chest CT using artificial intelligence predict lower risk of MACE in asymptomatic adults?
Cohort (n=1,109)
Yes
Does higher coronary artery calcium density derived from non-electrocardiogram-gated chest CT using artificial intelligence predict lower risk of MACE in asymptomatic adults?
Automated AI-derived assessment from routine non-ECG-gated chest CTs indicates that higher coronary artery calcium density is independently associated with a lower risk of major adverse cardiovascular events when adjusting for calcium volume.
May inform CAC-based risk stratification on routine CT; extends prior density data but remains hypothesis-generating pending prospective validation.
OBJECTIVE: The prognostic value of coronary artery calcium (CAC) volume and density was derived from an automated artificial intelligence (AI)-based analysis of non-electrocardiogram-gated chest CT. MATERIALS AND METHODS: In this retrospective study, 7,552 asymptomatic adults who underwent chest CT as part of a national health screening program between 2007 and 2014 at two tertiary hospitals were examined for eligibility, of whom 1,109 with detectable CAC were analyzed. CAC density was derived by back-calculation from the Agatston score and CAC volume, both of which were obtained using AI software on chest CT. Differences in the probability of being free from major adverse cardiovascular events (MACE) across the four combined CAC volume-density groups were assessed using Kaplan-Meier curves and restricted mean survival time (RMST). Multivariable Cox proportional hazards models were used to assess the association between CAC volume and density and MACE. CONCLUSION: CAC density derived from chest CT using automated AI quantification was independently and inversely associated with MACE, providing additional prognostic value when added to CAC volume.
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Kim et al. (2026) conducted a cohort in Asymptomatic cardiovascular risk (n=1,109). Coronary artery calcium (CAC) density vs. Lower CAC density was evaluated on Major adverse cardiovascular events (MACE) (HR 0.786, 95% CI 0.659-0.936, p=0.007). Higher coronary artery calcium density derived from non-ECG-gated chest CT using AI quantification was independently associated with a 21.4% lower risk of major adverse cardiovascular events per standard deviation increase (HR 0.786).
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