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DOI 10.1080/10255842.2023.2275546

Медицинская библиотека · Computer methods in biomechanics and biomedical engineering · 2023

Atherosclerosis risk assessment in human carotid artery with variation in sinus length: a numerical approach.

Kalita Jinmay, Show Subham, Biswas Nirmalendu, Datta Aparesh

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Аннотация

The mortality rates due to cardiovascular diseases are on a rise globally. One of the major cardiovascular diseases is stroke which occurs due to atherosclerotic plaques build-up in the carotid artery. The common carotid artery (CCA) bifurcates into the internal carotid artery (ICA) and external carotid artery (ECA). Sinus present at ICA is an ellipsoidal-shaped dilated region acting as a pressure receptor and blood flow regulator. Dimensions of the sinus vary from person to person, affecting the hemodynamics of the carotid artery. The current numerical study manifests a 3D flow analysis by varying the sinus length to investigate its local and global effects on the hemodynamics of the carotid artery using various biomechanical risk analysis parameters of atherosclerosis. User-defined function (UDF) dictates the pulsatile flow velocity profile imposed at the inlet. Near the outer wall (OW) of the sinus, the blood flow velocities are lower and recirculation zones are more. Though the recirculation zones for shorter sinus will be close to the inner wall (IW), interestingly, with an increase in the sinus length, the recirculation zones shift toward the OW with higher strength. These significantly decrease the x-wall shear stress (x-WSS) and time-averaged wall shear stress (TAWSS) values on the OW of the longer sinus. The other risk analysis parameters, like oscillatory shear index (OSI) and relative residence time (RRT), support the described consequences. These results reveal that sinus of increased length is more prone to developing atherosclerotic plaque.

Для цитирования: Kalita Jinmay, Show Subham, Biswas Nirmalendu, Datta Aparesh. Atherosclerosis risk assessment in human carotid artery with variation in sinus length: a numerical approach.. Computer methods in biomechanics and biomedical engineering. 2023. DOI: 10.1080/10255842.2023.2275546.

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