Carotid artery stenting (CAS) is an emerging endovascular intervention technique that has the potential to reduce the risk of stroke; however, it may be associated with a variety of complications postoperatively. Consequently, it is imperative to identify risk factors prior to CAS preoperative. Computational Fluid Dynamics (CFD) simulation uses numerical calculation methods to simulate and analyze the physical phenomena of blood flow. This research leverages a carotid ultrasound database to construct 3D models and conducts stent implantation simulations at sites of carotid stenosis to predict postoperative recovery outcomes. By providing more comprehensive and accurate information as feasibly as possible, the aim is to assist physicians in optimizing surgical plans, enhancing the success rate of surgeries, minimizing operative risks and ultimately delivering superior therapeutic results to patients.
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Song et al. (2024) studied this question.
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