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Current and Future Applications of Computational Fluid Dynamics in Coronary Artery Disease
Alessandro Candreva1,2, Giuseppe De Nisco1, Maurizio Lodi Rizzini1
1PoliToMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, 10129 Torino, Italy.
Insights
Computational fluid dynamics (CFD) models coronary artery hemodynamics, aiding understanding of atherosclerosis. This review details CFD
Area of Science:
- Cardiovascular Science
- Biomedical Engineering
- Medical Imaging
Background:
- Hemodynamic forces influence vascular health and atherosclerotic plaque development.
- Coronary artery anatomy and physiology present research challenges.
- The hemodynamic risk hypothesis links blood flow to atherogenesis.
Purpose of the Study:
- To review computational fluid dynamics (CFD) applications in coronary artery disease.
- To explain the theoretical foundations of quantitative intravascular hemodynamics.
- To discuss the clinical implications of CFD in coronary research.
Main Methods:
- Utilizing computational fluid dynamics (CFD) for accurate intracoronary hemodynamics modeling.
- Reviewing CFD applications based on invasive and non-invasive imaging modalities.
- Analyzing basic (pressure, velocity) and derived hemodynamic quantities (e.g., fractional flow reserve, wall shear stress, helicity).
Main Results:
- CFD provides a powerful tool for investigating coronary hemodynamics.
- The review classifies computational modeling approaches, noting advantages and limitations.
- Near-wall hemodynamics (shear stress) and flow complexity (helical flow) roles are described.
Conclusions:
- CFD enables advanced mathematical simulations for studying coronary artery disease.
- Understanding hemodynamic forces is crucial for diagnosing and treating atherosclerosis.
- This review offers insights into CFD's role in clinical research and medical practice.
Abstract:
Hemodynamics interacts with the cellular components of human vessels, influencing function and healthy status. Locally acting hemodynamic forces have been associated-by a steadily increasing amount of scientific evidence-with nucleation and evolution of atherosclerotic plaques in several vascular regions, resulting in the formulation of the 'hemodynamic risk hypothesis' of the atherogenesis. At the level of coronary arteries, however, the complexity of both anatomy and physiology made the study of this vascular region particularly difficult for researchers. Developments in computational fluid dynamics (CFD) have recently allowed an accurate modelling of the intracoronary hemodynamics, thus offering physicians a unique tool for the investigation of this crucial human system by means of advanced mathematical simulations. The present review of CFD applications in coronary artery disease was set to concisely offer the medical reader the theoretical foundations of quantitative intravascular hemodynamics-reasoned schematically in the text in its basic (i.e., pressure and velocity) and derived quantities (e.g., fractional flow reserve, wall shear stress and helicity)-along with its current implications in clinical research. Moreover, attention was paid in classifying computational modelling derived from invasive and non-invasive imaging modalities with unbiased remarks on the advantages and limitations of each procedure. Finally, an extensive description-aided by explanatory figures and cross references to recent clinical findings-was presented on the role of near-wall hemodynamics, in terms of shear stress, and of intravascular flow complexity, in terms of helical flow.
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