Influence of different computational approaches for stent deployment on cerebral aneurysm haemodynamics

Author:

Bernardini Annarita12,Larrabide Ignacio12,Morales Hernán G.12,Pennati Giancarlo3,Petrini Lorenza3,Cito Salvatore12,Frangi Alejandro F.124

Affiliation:

1. Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra (UPF), C/Roc Boronat 138, 08018 Barcelona, Spain

2. Networking Center on Biomedical Research (CIBER-BBN), C/Roc Boronat 138, 08018 Barcelona, Spain

3. Laboratory of Biological Structure Mechanics, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy

4. Institució Catalana de Recerca i Estudis Avançats (ICREA), C/Roc Boronat 138, 08018 Barcelona, Spain

Abstract

Cerebral aneurysms are abnormal focal dilatations of artery walls. The interest in virtual tools to help clinicians to value the effectiveness of different procedures for cerebral aneurysm treatment is constantly growing. This study is focused on the analysis of the influence of different stent deployment approaches on intra-aneurysmal haemodynamics using computational fluid dynamics (CFD). A self-expanding stent was deployed in an idealized aneurysmatic cerebral vessel in two initial positions. Different cases characterized by a progression of simplifications on stent modelling (geometry and material) and vessel material properties were set up, using finite element and fast virtual stenting methods. Then, CFD analysis was performed for untreated and stented vessels. Haemodynamic parameters were analysed qualitatively and quantitatively, comparing the cases and the two initial positions. All the cases predicted a reduction of average wall shear stress and average velocity of almost 50 per cent after stent deployment for both initial positions. Results highlighted that, although some differences in calculated parameters existed across the cases based on the modelling simplifications, all the approaches described the most important effects on intra-aneurysmal haemodynamics. Hence, simpler and faster modelling approaches could be included in clinical workflow and, despite the adopted simplifications, support clinicians in the treatment planning.

Publisher

The Royal Society

Subject

Biomedical Engineering,Biomaterials,Biochemistry,Bioengineering,Biophysics,Biotechnology

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