Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm model—A report on the Virtual Intracranial Stenting Challenge 2007

Radaelli, Alessandro; Augsburger, Luca; Cebral, Juan R.; Ohta, Makoto; Rüfenacht, Daniel A.; Balossino, Rossella; Benndorf, Goetz; Hose, D.R.; Marzo, Alberto; Metcalfe, Ralph W.; Mortier, Peter; Mut, Fernando; Reymond, Philippe; Socci, Laura; Verhegghe, Benedict; Frangi, Alejandro F.

doi:10.1016/j.jbiomech.2008.04.035

Cited by 142 publications

(116 citation statements)

References 18 publications

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“…Due to the limited radial force of the Neuroform stent, small vessels with a diameter of less than 2 mm are well suitable for Neuroform stent placement [18] . The hemodynamic eff ect of a single Neuroform stent on a bridged aneurysm was found to be insignifi cant in computational hemodynamic simulations [19] . Telescoping of Neuroform stents instead can sometimes induce fl ow diversion [15,20,21] .…”

Section: Cells Not Connectedmentioning

confidence: 99%

A Comparison of Functional and Physical Properties of Self-Expanding Intracranial Stents [Neuroform3, Wingspan, Solitaire, Leo(+), Enterprise]

Krischek

Miloslavski

Fischer

et al. 2011

Minim Invasive Neurosurg

162

139

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Section: Cells Not Connectedmentioning

confidence: 99%

A Comparison of Functional and Physical Properties of Self-Expanding Intracranial Stents [Neuroform3, Wingspan, Solitaire, Leo(+), Enterprise]

Krischek

Miloslavski

Fischer

et al. 2011

Minim Invasive Neurosurg

162

139

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“…Its geometry was obtained from a m-CT scan of the real stent (Radaelli et al 2008) (Figure 1(a)). The stent is expanded within an idealised vessel geometry, similar to those of cerebral aneurysms (Figure 1 Different modelling approaches are compared, characterised by an increasing level of simplification in terms of numerical method (FEM to deformable mesh), geometry Considering the five cases based on FEM, both 3D and 1D models are adopted for the stent, using eight-node brick elements or two-node linear beam elements for the model discretisation, respectively.…”

Section: Geometry Models and Materials Propertiesmentioning

confidence: 99%

Deployment of self-expandable stents in aneurysmatic cerebral vessels: comparison of different computational approaches for interventional planning

Bernardini

Larrabide

Petrini

et al. 2012

Computer Methods in Biomechanics and Biomedical Engineering

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JOB NUMBER: 527838 JOURNAL: GCMB Q1 Please check the affiliation details 'a and c'. Q2The reference citation 'Appanaboyina et al. (2007)' has been changed to 'Appanaboyina et al. (2008)' as per the reference list. Please check and confirm. Q3We have made a change to this sentence. Please review our edit.Q4 Please confirm our edit of the word 'modulus' to 'ratio' in this sentence. In the last few years, there has been a growing focus on faster computational methods to support clinicians in planning stenting procedures. This study investigates the possibility of introducing computational approximations in modelling stent deployment in aneurysmatic cerebral vessels to achieve simulations compatible with the constraints of real clinical workflows. The release of a self-expandable stent in a simplified aneurysmatic vessel was modelled in four different initial positions. Six progressively simplified modelling approaches (based on Finite Element method and Fast Virtual Stenting -FVS) have been used. Comparing accuracy of the results, the final configuration of the stent is more affected by neglecting mechanical properties of materials (FVS) than by adopting 1D instead of 3D stent models. Nevertheless, the differences showed are acceptable compared to those achieved by considering different stent initial positions. Regarding computational costs, simulations involving 1D stent features are the only ones feasible in clinical context.

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“…Grid sizes with an average density of 2000 el/mm 3 were used following a mesh dependency study in which WSS, pressure and velocity values, were monitored at several points within the aneurysm and parent vessel. 35 Figure 2 shows the meshes and BC types used in the analyses. To be independent of the initial numerical conditions hemodynamic data were extracted from the last cardiac cycle of a three-cycle analysis.…”

Section: Modelsmentioning

confidence: 99%

“…These measurements are costly to perform, are currently rarely justifiable as part of the clinical routine and are inherently difficult to obtain for the small, intricate vessels of the cerebral vasculature hence, such studies often involve small cohorts and the results lack statistical significance. 1,19,24 Larger cohort studies, in contrast, rely on inflow BCs based on measurements taken from healthy individuals, that are, in some cases 8,23,29,35,44 scaled in an attempt to achieve a more realistic mean WSS, and outflow BCs that arbitrarily assume the same pressure at all openings (zero pressure BCs). The assumptions associated with this approach may also lead to unrealistic results.…”

Section: Introductionmentioning

confidence: 99%

Computational Hemodynamics in Cerebral Aneurysms: The Effects of Modeled Versus Measured Boundary Conditions

et al. 2010

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Abstract-Modeling of flow in intracranial aneurysms (IAs) requires flow information at the model boundaries. In absence of patient-specific measurements, typical or modeled boundary conditions (BCs) are often used. This study investigates the effects of modeled versus patient-specific BCs on modeled hemodynamics within IAs. Computational fluid dynamics (CFD) models of five IAs were reconstructed from threedimensional rotational angiography (3DRA). BCs were applied using in turn patient-specific phase-contrast-MR (pc-MR) measurements, a 1D-circulation model, and a physiologically coherent method based on local WSS at inlets. The Navier-Stokes equations were solved using the Ansys Ò -CFX TM software. Wall shear stress (WSS), oscillatory shear index (OSI), and other hemodynamic indices were computed. Differences in the values obtained with the three methods were analyzed using boxplot diagrams. Qualitative similarities were observed in the flow fields obtained with the three approaches. The quantitative comparison showed smaller discrepancies between pc-MR and 1D-model data, than those observed between pc-MR and WSS-scaled data. Discrepancies were reduced when indices were normalized to mean hemodynamic aneurysmal data. The strong similarities observed for the three BCs models suggest that vessel and aneurysm geometry have the strongest influence on aneurysmal hemodynamics. In absence of patient-specific BCs, a distributed circulation model may represent the best option when CFD is used for large cohort studies.

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Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm model—A report on the Virtual Intracranial Stenting Challenge 2007

Cited by 142 publications

References 18 publications

A Comparison of Functional and Physical Properties of Self-Expanding Intracranial Stents [Neuroform3, Wingspan, Solitaire, Leo(+), Enterprise]

A Comparison of Functional and Physical Properties of Self-Expanding Intracranial Stents [Neuroform3, Wingspan, Solitaire, Leo(+), Enterprise]

Deployment of self-expandable stents in aneurysmatic cerebral vessels: comparison of different computational approaches for interventional planning

Computational Hemodynamics in Cerebral Aneurysms: The Effects of Modeled Versus Measured Boundary Conditions

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