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Functional assessment of coronary plaques using CT based hemodynamic simulations: Current status, technical principles and clinical value.
- Source :
- IMAGING; Jun2021, Vol. 13 Issue 1, p37-48, 12p
- Publication Year :
- 2021
-
Abstract
- In recent years, coronary computed tomography angiography (CCTA) has emerged as an accurate and safe non-invasive imaging modality in terms of detecting and excluding coronary artery disease (CAD). In the latest European Society of Cardiology Guidelines CCTA received Class I recommendation for the evaluation of patients with stable chest pain with low to intermediate clinical likelihood of CAD. Despite its high negative predictive value, the diagnostic performance of CCTA is limited by the relatively low specificity, especially in patients with heavily calcified lesions. The discrepancy between the degree of stenosis and ischemia is well established based on both invasive and noninvasive tests. The rapid evolution of computational flow dynamics has allowed the simulation of CCTA derived fractional flow reserve (FFR-CT), which improves specificity by combining anatomic and functional information regarding coronary atherosclerosis. FFR-CT has been extensively validated against invasively measured FFR as the reference standard. Due to recent technological advancements FFR-CT values can also be calculated locally, without offsite processing. Wall shear stress (WSS) and axial plaque stress (APS) are additional key hemodynamic elements of atherosclerotic plaque characteristics, which can also be measured using CCTA images. Current evidence suggests that WSS and APS are important hemodynamic features of adverse coronary plaques. CCTA based hemodynamic calculations could therefore improve prognostication and the management of patients with stable CAD. [ABSTRACT FROM AUTHOR]
- Subjects :
- COMPUTED tomography
ANGIOGRAPHY
HEMODYNAMICS
ATHEROSCLEROSIS
SHEARING force
Subjects
Details
- Language :
- English
- ISSN :
- 27320960
- Volume :
- 13
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- IMAGING
- Publication Type :
- Academic Journal
- Accession number :
- 154286126
- Full Text :
- https://doi.org/10.1556/1647.2020.00011