An AI model using CCTA distinguishes noncalcified plaque volumes in chest pain patients compared to asymptomatic patients.
Key Details
- 1AI model based on CCTA quantified plaque volumes in chest pain and asymptomatic patients.
- 2Study included 1,835 participants undergoing CCTA and quantitative plaque analysis from 2020-2024.
- 3Chest pain patients with midlevel CAC (100-300) had higher noncalcified plaque volume (152.3 vs. 108.9, p = 0.035).
- 4Symptomatic patients were generally younger and had lower systolic blood pressure than asymptomatic peers.
- 5No significant difference was found in statin use, hypertension, or diabetes prevalence between groups.
- 6Automated 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.
Source
AuntMinnie
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