AI Model Quantifies Plaque Volume Differences in Chest Pain Patients via CCTA
July 18, 2025
An AI model using CCTA distinguishes noncalcified plaque volumes in chest pain patients compared to asymptomatic patients.
Key Details
- AI model based on CCTA quantified plaque volumes in chest pain and asymptomatic patients.
- Study included 1,835 participants undergoing CCTA and quantitative plaque analysis from 2020-2024.
- Chest pain patients with midlevel CAC (100-300) had higher noncalcified plaque volume (152.3 vs. 108.9, p = 0.035).
- Symptomatic patients were generally younger and had lower systolic blood pressure than asymptomatic peers.
- No significant difference was found in statin use, hypertension, or diabetes prevalence between groups.
- Automated plaque analysis was performed using Cleerly software.
Why It Matters
The findings support using AI-driven CCTA analysis to help risk-stratify chest pain patients, potentially guiding preventive management decisions. Accurate plaque quantification may enhance diagnostic precision and patient care.