[Beyond Coronary CT Angiography: CT Fractional Flow Reserve and Perfusion].
Moon Young KimDong-Hyun YangKi Seok ChooWhal LeePublished in: Taehan Yongsang Uihakhoe chi (2022)
Cardiac CT has been proven to provide diagnostic and prognostic evaluation of coronary artery disease for cardiovascular risk stratification and treatment decision-making based on rapid technological development and various research evidence. Coronary CT angiography has emerged as a gateway test for coronary artery disease that can reduce invasive angiography due to its high negative predictive value, but the diagnostic specificity is relatively low. However, coronary CT angiography is likely to overcome its limitations through functional evaluation to identify the hemodynamic significance of coronary artery disease by analyzing myocardial perfusion and fractional flow reserve through cardiac CT. Recently, studies have been actively conducted to incorporate artificial intelligence to make this more objective and reproducible. In this review, functional imaging techniques of cardiac computerized tomography are explored.
Keyphrases
- coronary artery disease
- artificial intelligence
- computed tomography
- contrast enhanced
- image quality
- percutaneous coronary intervention
- dual energy
- cardiovascular events
- coronary artery bypass grafting
- left ventricular
- decision making
- machine learning
- big data
- positron emission tomography
- coronary artery
- aortic stenosis
- deep learning
- magnetic resonance imaging
- high resolution
- optical coherence tomography
- type diabetes
- aortic valve
- combination therapy
- clinical decision support
- sensitive detection