Advancements in Coronary Bifurcation Stenting Techniques: Insights From Computational and Bench Testing Studies.

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Tác giả: Susann Beier, Dario Carbonaro, Claudio Chiastra, Andrea Colombo, Socrates Dokos, Diego Gallo, Nigel Jepson, Hamed Keramati, Poay Huan Loh, Francesco Migliavacca, Tapabrata Ray, Mingzi Zhang

Ngôn ngữ: eng

Ký hiệu phân loại: 296.38 Judaism and social sciences

Thông tin xuất bản: England : International journal for numerical methods in biomedical engineering , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 712746

Coronary bifurcation lesions present complex challenges in interventional cardiology, necessitating effective stenting techniques to achieve optimal results. This literature review comprehensively examines the application of computational and bench testing methods in coronary bifurcation stenting, offering insights into procedural aspects, stent design considerations, and patient-specific characteristics. Structural mechanics finite element analysis, computational fluid dynamics, and multi-objective optimization are valuable tools for evaluating stenting strategies, including provisional side branch stenting and two-stenting techniques. We highlight the impact of procedural factors, such as balloon positioning and rewiring techniques, and stent design features on the outcome of percutaneous coronary interventions with stents. We discuss the importance of patient-specific characteristics in deployment strategies, such as bifurcation angle and plaque properties. This understanding informs present and future research and clinical practice on bifurcation stenting. Computational simulations are a continuously maturing advance that has significantly enhanced stenting devices and techniques for coronary bifurcation lesions over the years. However, the accurate account of patient-specific vessel and lesion characteristics, both in terms of anatomical and accurate physiological behavior, and their large variation between patients, remains a significant challenge in the field. In this context, advancements in multi-objective optimization offer significant opportunities for refining stent design and procedural practices.
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