Future Directions in Coronary CT Angiography: CT-Fractional Flow Reserve, Plaque Vulnerability, and Quantitative Plaque Assessment.
Fernando Uliana KayArzu CananSuhny AbbaraPublished in: Korean circulation journal (2019)
Coronary computed tomography angiography (CCTA) is a well-validated and noninvasive imaging modality for the assessment of coronary artery disease (CAD) in patients with stable ischemic heart disease and acute coronary syndromes (ACSs). CCTA not only delineates the anatomy of the heart and coronary arteries in detail, but also allows for intra- and extraluminal imaging of coronary arteries. Emerging technologies have promoted new CCTA applications, resulting in a comprehensive assessment of coronary plaques and their clinical significance. The application of computational fluid dynamics to CCTA resulted in a robust tool for noninvasive assessment of coronary blood flow hemodynamics and determination of hemodynamically significant stenosis. Detailed evaluation of plaque morphology and identification of high-risk plaque features by CCTA have been confirmed as predictors of future outcomes, identifying patients at risk for ACSs. With quantitative coronary plaque assessment, the progression of the CAD or the response to therapy could be monitored by CCTA. The aim of this article is to review the future directions of emerging applications in CCTA, such as computed tomography (CT)-fractional flow reserve, imaging of vulnerable plaque features, and quantitative plaque imaging. We will also briefly discuss novel methods appearing in the coronary imaging scenario, such as machine learning, radiomics, and spectral CT.
Keyphrases
- coronary artery disease
- high resolution
- percutaneous coronary intervention
- computed tomography
- cardiovascular events
- coronary artery bypass grafting
- coronary artery
- blood flow
- machine learning
- image quality
- dual energy
- acute coronary syndrome
- current status
- end stage renal disease
- magnetic resonance imaging
- climate change
- positron emission tomography
- cardiovascular disease
- chronic kidney disease
- heart failure
- fluorescence imaging
- atrial fibrillation
- metabolic syndrome
- ejection fraction
- stem cells
- big data
- antiplatelet therapy
- molecularly imprinted
- deep learning
- simultaneous determination
- tandem mass spectrometry