Patient-specific computational modelling of endovascular treatment for intracranial aneurysms

Endovascular techniques, such as endoluminal or endosaccular reconstruction, have emerged as the preferred method for treating both ruptured and unruptured intracranial aneurysms, replacing open surgery in most cases. The minimally invasive approach has been shown to result in better surgical outcom...

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Autores: Bisighini, Beatrice, Aguirre Font, Miquel|||0000-0003-1798-7908, Pierrat, Baptiste, Avril, Stephane
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/403860
Acceso en línea:https://hdl.handle.net/2117/403860
https://dx.doi.org/10.1016/j.brain.2023.100079
Access Level:acceso abierto
Palabra clave:Intracranial aneurysms
Endovascular treatment
Intracranial aneurysm
Computational mechanics
Simulation
Aneurismes cerebrals
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
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spelling Patient-specific computational modelling of endovascular treatment for intracranial aneurysmsBisighini, BeatriceAguirre Font, Miquel|||0000-0003-1798-7908Pierrat, BaptisteAvril, StephaneIntracranial aneurysmsEndovascular treatmentIntracranial aneurysmComputational mechanicsSimulationAneurismes cerebralsÀrees temàtiques de la UPC::Ciències de la salut::Medicina::NeurologiaEndovascular techniques, such as endoluminal or endosaccular reconstruction, have emerged as the preferred method for treating both ruptured and unruptured intracranial aneurysms, replacing open surgery in most cases. The minimally invasive approach has been shown to result in better surgical outcomes and lower mortality rates. Before the procedure, neuroradiologists rely only on their experience and visual aids from medical imaging techniques to select the appropriate endovascular option, device model and size for each patient. Despite the benefits of endovascular techniques, significant complications can arise during and after the procedures, including intraprocedural aneurysm perforation, delayed rupture, aneurysm regrowth, in-stent restenosis and thromboembolic events. Therefore, predictive virtual replicas of these interventions can serve as a valuable tool to assist neuroradiologists in the decision-making process and optimise treatment success, especially in cases involving complex geometries. Computational modelling can enable the simulation of different treatment strategies considering the most clinically relevant short- and long-term outcomes of the deployment and the postoperative complications that may arise over time. Statement of significance: This review explores the state of the art in modelling the mechanics of the main neurovascular devices, their deployment within patient-specific geometries, their interaction with the vessel wall and their influence on the local hemodynamics. As it strongly affects their applicability in clinical practice, particular attention is paid to the computational accuracy and efficiency of the different modelling strategies. The aim is to evaluate how these scientific tools and discoveries can support practitioners in making informed decisions and highlight the challenges that require further study.This project is carried on in the framework of the MeDiTaTe Project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement 859836. MA work has been partially supported by a Maria Zambrano research fellowship at Universitat Politècnica de Catalunya funded by Ministerio de Universidades.Peer ReviewedElsevier20232023-12-0120242024-03-06journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/403860https://dx.doi.org/10.1016/j.brain.2023.100079reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4038602026-05-27T15:37:01Z
dc.title.none.fl_str_mv Patient-specific computational modelling of endovascular treatment for intracranial aneurysms
title Patient-specific computational modelling of endovascular treatment for intracranial aneurysms
spellingShingle Patient-specific computational modelling of endovascular treatment for intracranial aneurysms
Bisighini, Beatrice
Intracranial aneurysms
Endovascular treatment
Intracranial aneurysm
Computational mechanics
Simulation
Aneurismes cerebrals
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
title_short Patient-specific computational modelling of endovascular treatment for intracranial aneurysms
title_full Patient-specific computational modelling of endovascular treatment for intracranial aneurysms
title_fullStr Patient-specific computational modelling of endovascular treatment for intracranial aneurysms
title_full_unstemmed Patient-specific computational modelling of endovascular treatment for intracranial aneurysms
title_sort Patient-specific computational modelling of endovascular treatment for intracranial aneurysms
dc.creator.none.fl_str_mv Bisighini, Beatrice
Aguirre Font, Miquel|||0000-0003-1798-7908
Pierrat, Baptiste
Avril, Stephane
author Bisighini, Beatrice
author_facet Bisighini, Beatrice
Aguirre Font, Miquel|||0000-0003-1798-7908
Pierrat, Baptiste
Avril, Stephane
author_role author
author2 Aguirre Font, Miquel|||0000-0003-1798-7908
Pierrat, Baptiste
Avril, Stephane
author2_role author
author
author
dc.subject.none.fl_str_mv Intracranial aneurysms
Endovascular treatment
Intracranial aneurysm
Computational mechanics
Simulation
Aneurismes cerebrals
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
topic Intracranial aneurysms
Endovascular treatment
Intracranial aneurysm
Computational mechanics
Simulation
Aneurismes cerebrals
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
description Endovascular techniques, such as endoluminal or endosaccular reconstruction, have emerged as the preferred method for treating both ruptured and unruptured intracranial aneurysms, replacing open surgery in most cases. The minimally invasive approach has been shown to result in better surgical outcomes and lower mortality rates. Before the procedure, neuroradiologists rely only on their experience and visual aids from medical imaging techniques to select the appropriate endovascular option, device model and size for each patient. Despite the benefits of endovascular techniques, significant complications can arise during and after the procedures, including intraprocedural aneurysm perforation, delayed rupture, aneurysm regrowth, in-stent restenosis and thromboembolic events. Therefore, predictive virtual replicas of these interventions can serve as a valuable tool to assist neuroradiologists in the decision-making process and optimise treatment success, especially in cases involving complex geometries. Computational modelling can enable the simulation of different treatment strategies considering the most clinically relevant short- and long-term outcomes of the deployment and the postoperative complications that may arise over time. Statement of significance: This review explores the state of the art in modelling the mechanics of the main neurovascular devices, their deployment within patient-specific geometries, their interaction with the vessel wall and their influence on the local hemodynamics. As it strongly affects their applicability in clinical practice, particular attention is paid to the computational accuracy and efficiency of the different modelling strategies. The aim is to evaluate how these scientific tools and discoveries can support practitioners in making informed decisions and highlight the challenges that require further study.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-12-01
2024
2024-03-06
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/403860
https://dx.doi.org/10.1016/j.brain.2023.100079
url https://hdl.handle.net/2117/403860
https://dx.doi.org/10.1016/j.brain.2023.100079
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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