Artificial intelligence-based coronary computed tomography angiography quantification of atherosclerosis burden: comparison with intravascular ultrasound in the INVICTUS Registry - PubMed
4 hours ago
- #Atherosclerosis
- #Cardiovascular Imaging
- #Artificial Intelligence
- AI-based coronary computed tomography angiography (AI-QCT) was compared with intravascular ultrasound (IVUS) for quantifying atherosclerosis burden.
- Strong correlations were found between AI-QCT and IVUS for external elastic membrane (EEM) volume, lumen volume, plaque volume, and calcium index.
- AI-QCT showed high accuracy in assessing non-calcified and low-attenuation plaques.
- The study suggests AI-QCT can provide rapid, automatic, and standardized cardiovascular risk assessment.
- AI-QCT minimizes inter-observer variability, enabling better treatment monitoring and decision-making.