2019
DOI: 10.1142/s0219876218420070
|View full text |Cite
|
Sign up to set email alerts
|

Effect of Stent Designs on the Paravalvular Regurgitation of Transcatheter Aortic Valve Implantation

Abstract: Paravalvular aortic regurgitation (AR) significantly influences the outcome of transcatheter aortic valve implantation (TAVI). This study deals with the effect of stent design on AR after TAVI was evaluated by numerical simulations. Three different stents were implanted into the representative calcified human aortic root models. The excessively dense or a sparse outflow end would result in larger stent deformation indexes, higher stress of calcified plaques and aortic root, and larger gap between stent and aor… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2019
2019
2021
2021

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 25 publications
0
2
0
Order By: Relevance
“…Recent studies quantified the interaction between the device and the implantation site, as a surrogate measure of PVL, by measuring the gap between the stent (Bosi et al 2018; Morganti et al 2014) or the skirt (Schultz et al 2016) from the native tissue in patient-specific and idealized aortic root (AR) anatomies (Chang et al 2018). Similarly, a max-flow algorithm was proposed (Bosmans et al 2016), which creates a one-dimensional connected graph to represent the flow network based on the size of the gap between the stent and AR.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Recent studies quantified the interaction between the device and the implantation site, as a surrogate measure of PVL, by measuring the gap between the stent (Bosi et al 2018; Morganti et al 2014) or the skirt (Schultz et al 2016) from the native tissue in patient-specific and idealized aortic root (AR) anatomies (Chang et al 2018). Similarly, a max-flow algorithm was proposed (Bosmans et al 2016), which creates a one-dimensional connected graph to represent the flow network based on the size of the gap between the stent and AR.…”
Section: Introductionmentioning
confidence: 99%
“…Computational models have been employed to study the interaction between TAVR stent and aortic native tissue and predict post-procedural device performance from a structural dynamics standpoint (Bianchi et al 2016; McGee et al 2018; Morganti et al 2016; Sturla et al 2016; Wang et al 2014). Recent studies quantified the interaction between the device and the implantation site, as a surrogate measure of PVL, by measuring the gap between the stent (Bosi et al 2018; Morganti et al 2014) or the skirt (Schultz et al 2016) from the native tissue in patient-specific and idealized aortic root (AR) anatomies (Chang et al 2018). Similarly, a max-flow algorithm was proposed (Bosmans et al 2016), which creates a one-dimensional connected graph to represent the flow network based on the size of the gap between the stent and AR.…”
Section: Introductionmentioning
confidence: 99%