Abstract

The efficacy of flow diverters is influenced by the strut configuration changes resulting from size discrepancies between the stent and the parent artery. This study aimed to quantitatively analyze the impact of size discrepancies between flow diverters and parent arteries on the flow diversion effects, using computational fluid dynamics. Four silicone models with varying parent artery sizes were developed. Real flow diverters were deployed in these models to assess stent configurations at the aneurysm neck. Virtual stents were generated based on these configurations for computational fluid dynamics analysis. The changes in the reduction rate of the hemodynamic parameters were quantified to evaluate the flow diversion effect. Implanting 4.0 mm flow diverters in aneurysm models with parent artery diameters of 3.0–4.5 mm, in 0.5 mm increments, revealed that a shift from oversized to undersized flow diverters led to an increase in the reduction rates of hemodynamic parameter, accompanied by enhanced metal coverage rate and pore density. However, the flow diversion effect observed transitioning from oversizing to matching was less pronounced when moving from matching to undersizing. This emphasizes the importance of proper sizing of flow diverters, considering the benefits of undersizing and not to exceed the threshold of advantages.

Details

Title
Quantitative analysis of hemodynamic changes induced by the discrepancy between the sizes of the flow diverter and parent artery
Author
Kim, Sunghan 1 ; Yang, Hyeondong 2 ; Oh, Je Hoon 2 ; Kim, Yong Bae 3 

 The Catholic University of Korea, Department of Neurosurgery, Bucheon St. Mary’s Hospital, College of Medicine, Seoul, Republic of Korea (GRID:grid.411947.e) (ISNI:0000 0004 0470 4224) 
 Hanyang University, Department of Mechanical Engineering and BK21 FOUR ERICA-ACE Center, Ansan, Republic of Korea (GRID:grid.49606.3d) (ISNI:0000 0001 1364 9317) 
 Yonsei University College of Medicine, Department of Neurosurgery, Severance Hospital, Seoul, Republic of Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454) 
Pages
10653
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3052936284
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.