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Computational fluid dynamics analysis of stenosed coronary arteries revealed that maximum wall shear stress occurs at the stenosis throat and high oscillatory shear index along the stenosed wall.
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Computational fluid dynamics modeling based on histological images reveals distinct shear stress patterns in stenosed coronary arteries, which may help predict plaque formation.
Histological images from the longitudinal section of four diseased coronary arteries were used, for the first time, to study the pulsatile blood flow distribution within the lumen of the arteries by means of computational fluid dynamics (CFD). Results indicate a strong dependence of the hemodynamics on the morphology of atherosclerotic lesion. Distinctive flow patterns appear in different stenosed regions corresponding to the specific geometry of any artery. Results show that the stenosis affects the wall shear stress (WSS) locally along the diseased arterial wall as well as other adjacent walls. The maximum magnitude of WSS is observed in the throat of stenosis. Moreover, high oscillatory shear index (OSI) is observed along the stenosed wall and the high curvature regions. The present study is capable of providing information on the shear environment in the longitudinal section of the diseased coronary arteries, based on the models created from histological images. The computational method may be used as an effective way to predict plaque forming regions in healthy arterial walls.
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Takabe et al. (2013) studied Stenosed coronary arteries (n=4). Computational fluid dynamics (CFD) analysis was evaluated on Hemodynamic features including wall shear stress (WSS) and oscillatory shear index (OSI). Computational fluid dynamics analysis of stenosed coronary arteries revealed that maximum wall shear stress occurs at the stenosis throat and high oscillatory shear index along the stenosed wall.
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