Journal article 442 views
A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure
,
Giulia Luraghi ,
Francesco Migliavacca ,
Sanjay Pant ,
Alberto García-González,
Jose F. Rodriguez Matas
Journal of the Mechanical Behavior of Biomedical Materials, Volume: 137, Start page: 105577
Swansea University Author:
Sanjay Pant
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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...
| Published in: | Journal of the Mechanical Behavior of Biomedical Materials |
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| ISSN: | 1751-6161 |
| Published: |
Elsevier BV
2023
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa61935 |
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| 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, 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. |
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| Keywords: |
Acute ischemic stroke, Thrombectomy, Surrogate modeling, Principal components analysis, Kriging, Finite element method |
| College: |
Faculty of Science and Engineering |
| 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. |
| Start Page: |
105577 |