Our capricious vessels: The influence of stent design and vessel geometry on the mechanics of intracranial aneurysm stent deployment

Bock, Sander De; Iannaccone, Francesco; Santis, Gianluca De; Beule, Matthieu De; Mortier, Peter; Verhegghe, Benedict; Segers, Patrick

doi:10.1016/j.jbiomech.2012.03.012

Cited by 66 publications

(45 citation statements)

References 30 publications

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“…In particular, the device and implantation modeling is constantly refined (including the design and material properties of the device, 21 its interaction with the vessel, 21 the deployment procedure, 19 the computational scheme 20 ), increasing the precision of the model at the expense of the computational cost and manual intervention. However, the relevance of each model component is still debated because comparisons with in vivo stent implantations are poorly reported.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, we have recently proposed 17 a virtual stent-deployment method able to predict the local properties of braided stents (wire location, angles, porosities) and implantation parameters (stent length, landing zone) with minimal computational cost. Contrary to other methods that involve either cumbersome finite element analysis [18][19][20][21] or complex phenomenologic constraints 13,20,[22][23][24][25][26] to simulate the stent dynamics, the proposed model is based on a minimal number of geometric assumptions (ie, a constant interwire distance and tubular stent envelope), which were validated in vitro and in vivo for the Pipeline Embolization Device (PED; Covidien, Irvine, California).…”

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confidence: 99%

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Virtual-versus-Real Implantation of Flow Diverters: Clinical Potential and Influence of Vascular Geometry

Bouillot

Brina

Yılmaz

et al. 2016

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:Intracranial stents have become extremely important in the endovascular management of complex intracranial aneurysms. Sizing and landing zone predictions are still very challenging steps in the procedure. Virtual stent deployment may help therapeutic planning, device choice, and hemodynamic simulations. We aimed to assess the predictability of our recently developed virtual deployment model by comparing in vivo and virtual stents implanted in a consecutive series of patients presenting with intracranial aneurysms.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Virtual-versus-Real Implantation of Flow Diverters: Clinical Potential and Influence of Vascular Geometry

Bouillot

Brina

Yılmaz

et al. 2016

AJNR Am J Neuroradiol

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“…The main concern in this work is that our having not modeling the graft can contribute to different mechanical behavior [11]. Finally, we hope that future advances will be supported by experimental studies that are required to validate our numerical observations.…”

Section: Limitationmentioning

confidence: 92%

“…Additionally, the stent should be flexible enough to allow easy placement and conformity after deployment, specifically in thoracic aorta, which curvature can highly contribute to type1-a endoleaks and device migration [9]. Numerous computational studies have investigated the influence of stent design on vessel scaffolding in the carotid artery [10] and stent placement in cerebral aneurysm [11]. Similarly, the nitinol stent design has been shown to have a considerable impact on crimping and fatigue behavior [12].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation for Design Evaluation of Thoracic Stent Graft to Investigate the Migration Phenomena and Type 1a Endoleak of Thoracic Aneurysm

Eddin

Bou‐Saïd²,

Berre³

2015

J Vasc Med Surg

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“…Wrong selection of the stents geometric characteristics can lead to complications. Some of the possible problems are: leakage, device displacement (migration), implant rupture, or arterial wall tissue damage (BLUM et al, 2001, JACOBS et al, 2003, LI et al, 2006, CORBETT et al, 2008, BOCK et al, 2012, MORRIS et al, 2013.…”

Section: Introductionmentioning

confidence: 99%

An experimental methodology for arterial walls

Formenton¹,

Vassoler²,

Silveira³

et al. 2016

Biosci. J.

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Numerical simulations of arterial walls allow a better understanding of the interaction between biological tissue and endoprosthesis (stents), which are used in aneurysms or atherosclerosis stenosis treatment. A reliable understanding of this interaction may help one to select, or even design, the best structure for a given clinical indication. The development of a realistic numerical simulation requires an appropriated definition of a constitutive model and the obtainment of experimental data useful to a parameter identification procedure. Biological tissues have different mechanical characteristics of materials commonly used for engineering applications, however the experimental data acquisition is a major challenge. Some examples of technical difficulties of experimental test in biological tissue are associated to the obtainment of samples, temperature and humidity control during storage, suitable gripping and geometric and strain measurements methods. Therefore, this paper presents an experimental methodology to perform uniaxial mechanical tests in pig arteries in order to provide useful information for material models of arterial walls. This study proposes the experimental procedure from the sample obtainment to the uniaxial experimental testing of the tissue in two directions (circumferential and longitudinal) at two strain rates. In order to shown the use of the experimental data into a suitable numerical model for arterial walls, a parameter identification procedure was performed to obtain material parameters of a viscoelastic anisotropic model with fiber dispersion for finite strains. Through the experimental methodology proposed it was possible to obtain useful data for the parameter identification. Moreover, the results demonstrate that the arterial walls mechanical behavior was properly represented by the selected model.

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Our capricious vessels: The influence of stent design and vessel geometry on the mechanics of intracranial aneurysm stent deployment

Cited by 66 publications

References 30 publications

Virtual-versus-Real Implantation of Flow Diverters: Clinical Potential and Influence of Vascular Geometry

Virtual-versus-Real Implantation of Flow Diverters: Clinical Potential and Influence of Vascular Geometry

Numerical Simulation for Design Evaluation of Thoracic Stent Graft to Investigate the Migration Phenomena and Type 1a Endoleak of Thoracic Aneurysm

An experimental methodology for arterial walls

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