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A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure

Sara Bridio Orcid Logo, Giulia Luraghi Orcid Logo, Francesco Migliavacca Orcid Logo, Sanjay Pant Orcid Logo, Alberto García-González, Jose F. Rodriguez Matas Orcid Logo

Journal of the Mechanical Behavior of Biomedical Materials, Volume: 137, Start page: 105577

Swansea University Author: Sanjay Pant Orcid Logo

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DOI (Published version): 10.1016/j.jmbbm.2022.105577

Abstract

BackgroundIntra-arterial thrombectomy is the main treatment for acute ischemic stroke due to large vessel occlusions and can consist in mechanically removing the thrombus with a stent-retriever. A cause of failure of the procedure is the fragmentation of the thrombus and formation of micro-emboli, d...

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Published in: Journal of the Mechanical Behavior of Biomedical Materials
ISSN: 1751-6161
Published: Elsevier BV 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa61935
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This work proposes a methodology for the creation of a low-dimensional surrogate model of the mechanical thrombectomy procedure, trained on realizations from high-fidelity simulations, able to estimate the evolution of the maximum first principal strain in the thrombus.MethodA parametric finite-element model was created, composed of a tapered vessel, a thrombus, a stent-retriever and a catheter. A design of experiments was conducted to sample 100 combinations of the model parameters and the corresponding thrombectomy simulations were run and post-processed to extract the maximum first principal strain in the thrombus during the procedure. Then, a surrogate model was built with a combination of principal component analysis and Kriging.Results&#x2013; The surrogate model was chosen after a sensitivity analysis on the number of principal components and was tested with 10 additional cases. The model provided predictions of the strain curves with correlation above 0.9 and a maximum error of 28%, with an error below 20% in 60% of the test cases.ConclusionsThe surrogate model provides nearly instantaneous estimates and constitutes a valuable tool for evaluating the risk of thrombus rupture during pre-operative planning for the treatment of acute ischemic stroke.</abstract><type>Journal Article</type><journal>Journal of the Mechanical Behavior of Biomedical Materials</journal><volume>137</volume><journalNumber/><paginationStart>105577</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1751-6161</issnPrint><issnElectronic/><keywords>Acute ischemic stroke, Thrombectomy, Surrogate modeling, Principal components analysis, Kriging, Finite element method</keywords><publishedDay>1</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2023</publishedYear><publishedDate>2023-01-01</publishedDate><doi>10.1016/j.jmbbm.2022.105577</doi><url/><notes/><college>COLLEGE NANME</college><department>Aerospace, Civil, Electrical, and Mechanical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>ACEM</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 777072 and from the MIUR FISR-FISR2019_03221 CECOMES.</funders><projectreference/><lastEdited>2024-07-17T15:51:55.7806206</lastEdited><Created>2022-11-16T09:47:58.8077867</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering</level></path><authors><author><firstname>Sara</firstname><surname>Bridio</surname><orcid>0000-0002-1259-9730</orcid><order>1</order></author><author><firstname>Giulia</firstname><surname>Luraghi</surname><orcid>0000-0002-0434-8544</orcid><order>2</order></author><author><firstname>Francesco</firstname><surname>Migliavacca</surname><orcid>0000-0003-4644-630x</orcid><order>3</order></author><author><firstname>Sanjay</firstname><surname>Pant</surname><orcid>0000-0002-2081-308X</orcid><order>4</order></author><author><firstname>Alberto</firstname><surname>Garc&#xED;a-Gonz&#xE1;lez</surname><order>5</order></author><author><firstname>Jose F. 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spelling 2024-07-17T15:51:55.7806206 v2 61935 2022-11-16 A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure 43b388e955511a9d1b86b863c2018a9f 0000-0002-2081-308X Sanjay Pant Sanjay Pant true false 2022-11-16 ACEM BackgroundIntra-arterial thrombectomy is the main treatment for acute ischemic stroke due to large vessel occlusions and can consist in mechanically removing the thrombus with a stent-retriever. A cause of failure of the procedure is the fragmentation of the thrombus and formation of micro-emboli, difficult to remove. This work proposes a methodology for the creation of a low-dimensional surrogate model of the mechanical thrombectomy procedure, trained on realizations from high-fidelity simulations, able to estimate the evolution of the maximum first principal strain in the thrombus.MethodA parametric finite-element model was created, composed of a tapered vessel, a thrombus, a stent-retriever and a catheter. A design of experiments was conducted to sample 100 combinations of the model parameters and the corresponding thrombectomy simulations were run and post-processed to extract the maximum first principal strain in the thrombus during the procedure. Then, a surrogate model was built with a combination of principal component analysis and Kriging.Results– The surrogate model was chosen after a sensitivity analysis on the number of principal components and was tested with 10 additional cases. The model provided predictions of the strain curves with correlation above 0.9 and a maximum error of 28%, with an error below 20% in 60% of the test cases.ConclusionsThe surrogate model provides nearly instantaneous estimates and constitutes a valuable tool for evaluating the risk of thrombus rupture during pre-operative planning for the treatment of acute ischemic stroke. Journal Article Journal of the Mechanical Behavior of Biomedical Materials 137 105577 Elsevier BV 1751-6161 Acute ischemic stroke, Thrombectomy, Surrogate modeling, Principal components analysis, Kriging, Finite element method 1 1 2023 2023-01-01 10.1016/j.jmbbm.2022.105577 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 777072 and from the MIUR FISR-FISR2019_03221 CECOMES. 2024-07-17T15:51:55.7806206 2022-11-16T09:47:58.8077867 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Sara Bridio 0000-0002-1259-9730 1 Giulia Luraghi 0000-0002-0434-8544 2 Francesco Migliavacca 0000-0003-4644-630x 3 Sanjay Pant 0000-0002-2081-308X 4 Alberto García-González 5 Jose F. Rodriguez Matas 0000-0001-7612-266x 6 61935__25882__074ca50069b943a68232df059160cfce.pdf 61935.pdf 2022-11-23T17:03:17.1071305 Output 1955485 application/pdf Accepted Manuscript true 2023-11-16T00:00:00.0000000 ©2022 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure
spellingShingle A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure
Sanjay Pant
title_short A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure
title_full A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure
title_fullStr A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure
title_full_unstemmed A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure
title_sort A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure
author_id_str_mv 43b388e955511a9d1b86b863c2018a9f
author_id_fullname_str_mv 43b388e955511a9d1b86b863c2018a9f_***_Sanjay Pant
author Sanjay Pant
author2 Sara Bridio
Giulia Luraghi
Francesco Migliavacca
Sanjay Pant
Alberto García-González
Jose F. Rodriguez Matas
format Journal article
container_title Journal of the Mechanical Behavior of Biomedical Materials
container_volume 137
container_start_page 105577
publishDate 2023
institution Swansea University
issn 1751-6161
doi_str_mv 10.1016/j.jmbbm.2022.105577
publisher Elsevier BV
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering
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description BackgroundIntra-arterial thrombectomy is the main treatment for acute ischemic stroke due to large vessel occlusions and can consist in mechanically removing the thrombus with a stent-retriever. A cause of failure of the procedure is the fragmentation of the thrombus and formation of micro-emboli, difficult to remove. This work proposes a methodology for the creation of a low-dimensional surrogate model of the mechanical thrombectomy procedure, trained on realizations from high-fidelity simulations, able to estimate the evolution of the maximum first principal strain in the thrombus.MethodA parametric finite-element model was created, composed of a tapered vessel, a thrombus, a stent-retriever and a catheter. A design of experiments was conducted to sample 100 combinations of the model parameters and the corresponding thrombectomy simulations were run and post-processed to extract the maximum first principal strain in the thrombus during the procedure. Then, a surrogate model was built with a combination of principal component analysis and Kriging.Results– The surrogate model was chosen after a sensitivity analysis on the number of principal components and was tested with 10 additional cases. The model provided predictions of the strain curves with correlation above 0.9 and a maximum error of 28%, with an error below 20% in 60% of the test cases.ConclusionsThe surrogate model provides nearly instantaneous estimates and constitutes a valuable tool for evaluating the risk of thrombus rupture during pre-operative planning for the treatment of acute ischemic stroke.
published_date 2023-01-01T14:20:33Z
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