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Clot embolization studies and computational framework for embolization in a canonical tube model
Despite recent advances in the development of computational methods of modeling thrombosis, relatively little effort has been made in developing methods of modeling blood clot embolization. Such a model would provide substantially greater understanding of the mechanics of embolization, as in-vitro a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482921/ https://www.ncbi.nlm.nih.gov/pubmed/37673915 http://dx.doi.org/10.1038/s41598-023-41825-8 |
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author | Tobin, Nicolas Li, Menghan Hiller, Gretchen Azimi, Arash Manning, Keefe B. |
author_facet | Tobin, Nicolas Li, Menghan Hiller, Gretchen Azimi, Arash Manning, Keefe B. |
author_sort | Tobin, Nicolas |
collection | PubMed |
description | Despite recent advances in the development of computational methods of modeling thrombosis, relatively little effort has been made in developing methods of modeling blood clot embolization. Such a model would provide substantially greater understanding of the mechanics of embolization, as in-vitro and in-vivo characterization of embolization is difficult. Here, a method of computationally simulating embolization is developed. Experiments are performed of blood clots formed in a polycarbonate tube, where phosphate-buffered saline is run through the tube at increasing flow rates until the clot embolizes. The experiments revealed embolization can be initiated by leading edge and trailing edge detachment or by non-uniform detachment. Stress-relaxation experiments are also performed to establish values of constitutive parameters for subsequent simulations. The embolization in the tube is reproduced in silico using a multiphase volume-of-fluid approach, where the clot is modeled as viscoelastic. By varying the constitutive parameters at the wall, embolization can be reproduced in-silico at varying flow rates, and a range of constitutive parameters fitting the experiments is reported. Here, the leading edge embolization is simulated at flow rates consistent with the experiments demonstrating excellent agreement in this specific behavior. |
format | Online Article Text |
id | pubmed-10482921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104829212023-09-08 Clot embolization studies and computational framework for embolization in a canonical tube model Tobin, Nicolas Li, Menghan Hiller, Gretchen Azimi, Arash Manning, Keefe B. Sci Rep Article Despite recent advances in the development of computational methods of modeling thrombosis, relatively little effort has been made in developing methods of modeling blood clot embolization. Such a model would provide substantially greater understanding of the mechanics of embolization, as in-vitro and in-vivo characterization of embolization is difficult. Here, a method of computationally simulating embolization is developed. Experiments are performed of blood clots formed in a polycarbonate tube, where phosphate-buffered saline is run through the tube at increasing flow rates until the clot embolizes. The experiments revealed embolization can be initiated by leading edge and trailing edge detachment or by non-uniform detachment. Stress-relaxation experiments are also performed to establish values of constitutive parameters for subsequent simulations. The embolization in the tube is reproduced in silico using a multiphase volume-of-fluid approach, where the clot is modeled as viscoelastic. By varying the constitutive parameters at the wall, embolization can be reproduced in-silico at varying flow rates, and a range of constitutive parameters fitting the experiments is reported. Here, the leading edge embolization is simulated at flow rates consistent with the experiments demonstrating excellent agreement in this specific behavior. Nature Publishing Group UK 2023-09-06 /pmc/articles/PMC10482921/ /pubmed/37673915 http://dx.doi.org/10.1038/s41598-023-41825-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tobin, Nicolas Li, Menghan Hiller, Gretchen Azimi, Arash Manning, Keefe B. Clot embolization studies and computational framework for embolization in a canonical tube model |
title | Clot embolization studies and computational framework for embolization in a canonical tube model |
title_full | Clot embolization studies and computational framework for embolization in a canonical tube model |
title_fullStr | Clot embolization studies and computational framework for embolization in a canonical tube model |
title_full_unstemmed | Clot embolization studies and computational framework for embolization in a canonical tube model |
title_short | Clot embolization studies and computational framework for embolization in a canonical tube model |
title_sort | clot embolization studies and computational framework for embolization in a canonical tube model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482921/ https://www.ncbi.nlm.nih.gov/pubmed/37673915 http://dx.doi.org/10.1038/s41598-023-41825-8 |
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