Literature DB >> 34994871

Hemodynamic effects of stent-graft introducer sheath during thoracic endovascular aortic repair.

Yonghui Qiao1, Le Mao2, Yan Wang1, Jingyang Luan2, Yanlu Chen1, Ting Zhu2, Kun Luo3,4, Jianren Fan5,6.   

Abstract

Thoracic endovascular aortic repair (TEVAR) has become the standard treatment of a variety of aortic pathologies. The objective of this study is to evaluate the hemodynamic effects of stent-graft introducer sheath during TEVAR. Three idealized representative diseased aortas were designed: aortic aneurysm, coarctation of the aorta, and aortic dissection. Computational fluid dynamics studies were performed in the above idealized aortic geometries. An introducer sheath routinely used in the clinic was virtually placed into diseased aortas. Comparative analysis was carried out to evaluate the hemodynamic effects of the introducer sheath. Results show that the blood flow to the supra-aortic branches would increase above 9% due to the obstruction of the introducer sheath. The region exposed to high endothelial cell activation potential (ECAP) expands in the scenarios of coarctation of the aorta and aortic dissection, which indicates that the probability of thrombus formation may increase during TEVAR. The pressure magnitude in peak systole shows an obvious rise, and a similar phenomenon is not observed in early diastole. The blood viscosity in the aortic arch and descending aorta is remarkably altered by the introducer sheath. The uneven viscosity distribution confirms the necessity of using non-Newtonian models, and high-viscosity region with high ECAP further promotes thrombosis. Our results highlight the hemodynamic effects of stent-graft introducer sheath during TEVAR, which may associate with perioperative complications.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Aortic aneurysm; Aortic dissection; Coarctation of the aorta; Computational fluid dynamics; Introducer sheath; Thoracic endovascular aortic repair

Mesh:

Year:  2022        PMID: 34994871     DOI: 10.1007/s10237-021-01542-5

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  1 in total

1.  Computational Prediction of Thrombosis in Food and Drug Administration's Benchmark Nozzle.

Authors:  Yonghui Qiao; Kun Luo; Jianren Fan
Journal:  Front Physiol       Date:  2022-04-25       Impact factor: 4.755

  1 in total

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