Literature DB >> 34298290

The first virtual patient-specific thrombectomy procedure.

Giulia Luraghi1, Sara Bridio1, Jose Felix Rodriguez Matas1, Gabriele Dubini1, Nikki Boodt2, Frank J H Gijsen3, Aad van der Lugt4, Behrooz Fereidoonnezhad5, Kevin M Moerman5, Patrick McGarry5, Praneeta R Konduri6, Nerea Arrarte Terreros6, Henk A Marquering6, Charles B L M Majoie7, Francesco Migliavacca8.   

Abstract

Treatment of acute ischemic stroke has been recently improved with the introduction of endovascular mechanical thrombectomy, a minimally invasive procedure able to remove a clot using aspiration devices and/or stent-retrievers. Despite the promising and encouraging results, improvements to the procedure and to the stent design are the focus of the recent efforts. Computational studies can pave the road to these improvements, providing their ability to describe and accurately reproduce a real procedure. A patient with ischemic stroke due to intracranial large vessel occlusion was selected and after the creation of the cerebral vasculature from computed tomography images and a histologic analysis to determine the clot composition, the entire thrombectomy procedure was virtually replicated. As in the real situation, the computational replica showed that two attempts were necessary to remove the clot, as a result of the position of the stent retriever with respect to the clot. Furthermore, the results indicated that clot fragmentation did not occur as the deformations were mainly in a compressive state without the possibility for clot cracks to propagate. The accurate representation of the procedure can be used as an important step for operative optimization planning and future improvements of stent designs.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acute ischemic stroke; Finite element analysis; INSIST; In silico; Stent-retriever

Year:  2021        PMID: 34298290     DOI: 10.1016/j.jbiomech.2021.110622

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

1.  Realistic computer modelling of stent retriever thrombectomy: a hybrid finite-element analysis-smoothed particle hydrodynamics model.

Authors:  S Mostafa Mousavi J S; Danial Faghihi; Kelsey Sommer; Mohammad M S Bhurwani; Tatsat R Patel; Briana Santo; Muhammad Waqas; Ciprian Ionita; Elad I Levy; Adnan H Siddiqui; Vincent M Tutino
Journal:  J R Soc Interface       Date:  2021-12-15       Impact factor: 4.118

2.  Quantification of hypoxic regions distant from occlusions in cerebral penetrating arteriole trees.

Authors:  Yidan Xue; Theodosia Georgakopoulou; Anne-Eva van der Wijk; Tamás I Józsa; Ed van Bavel; Stephen J Payne
Journal:  PLoS Comput Biol       Date:  2022-08-05       Impact factor: 4.779

3.  Impact of the Internal Carotid Artery Morphology on in silico Stent-Retriever Thrombectomy Outcome.

Authors:  Sara Bridio; Giulia Luraghi; Jose F Rodriguez Matas; Gabriele Dubini; Giorgia G Giassi; Greta Maggio; Julia N Kawamoto; Kevin M Moerman; Patrick McGarry; Praneeta R Konduri; Nerea Arrarte Terreros; Henk A Marquering; Ed van Bavel; Charles B L M Majoie; Francesco Migliavacca
Journal:  Front Med Technol       Date:  2021-08-03
  3 in total

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