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In-silico enhanced animal study of pulmonary artery pressure sensors: assessing hemodynamics using computational fluid dynamics
To assess whether in-silico models can be used to predict the risk of thrombus formation in pulmonary artery pressure sensors (PAPS), a chronic animal study using pigs was conducted. Computed tomography (CT) data was acquired before and immediately after implantation, as well as one and three months...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517052/ https://www.ncbi.nlm.nih.gov/pubmed/37745132 http://dx.doi.org/10.3389/fcvm.2023.1193209 |
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author | Brüning, Jan Yevtushenko, Pavlo Schlief, Adriano Jochum, Tobias van Gijzen, Livia Meine, Sonja Romberg, Jan Kuehne, Titus Arndt, Andreas Goubergrits, Leonid |
author_facet | Brüning, Jan Yevtushenko, Pavlo Schlief, Adriano Jochum, Tobias van Gijzen, Livia Meine, Sonja Romberg, Jan Kuehne, Titus Arndt, Andreas Goubergrits, Leonid |
author_sort | Brüning, Jan |
collection | PubMed |
description | To assess whether in-silico models can be used to predict the risk of thrombus formation in pulmonary artery pressure sensors (PAPS), a chronic animal study using pigs was conducted. Computed tomography (CT) data was acquired before and immediately after implantation, as well as one and three months after the implantation. Devices were implanted into 10 pigs, each one in the left and right pulmonary artery (PA), to reduce the required number of animal experiments. The implantation procedure aimed at facilitating optimal and non-optimal positioning of the devices to increase chances of thrombus formation. Eight devices were positioned non-optimally. Three devices were positioned in the main PA instead of the left and right PA. Pre-interventional PA geometries were reconstructed from the respective CT images, and the devices were virtually implanted at the exact sites and orientations indicated by the follow-up CT after one month. Transient intra-arterial hemodynamics were calculated using computational fluid dynamics. Volume flow rates were modelled specifically matching the animals body weights. Wall shear stresses (WSS) and oscillatory shear indices (OSI) before and after device implantation were compared. Simulations revealed no relevant changes in any investigated hemodynamic parameters due to device implantation. Even in cases, where devices were implanted in a non-optimal manner, no marked differences in hemodynamic parameters compared to devices implanted in an optimal position were found. Before implantation time and surface-averaged WSS was [Formula: see text] Pa, whereas OSI was [Formula: see text] , respectively. Areas affected by low WSS magnitudes were [Formula: see text] cm [Formula: see text] , whereas the areas affected by high OSI were [Formula: see text] cm [Formula: see text]. After device implantation, WSS and OSI were [Formula: see text] Pa and [Formula: see text] , respectively. Surface areas affected by low WSS and high OSI were [Formula: see text] cm [Formula: see text] , and [Formula: see text] cm [Formula: see text] , respectively. This in-silico study indicates that no clinically relevant differences in intra-arterial hemodynamics are occurring after device implantation, even at non-optimal positioning of the sensor. Simultaneously, no embolic events were observed, suggesting that the risk for thrombus formation after device implantation is low and independent of the sensor position. |
format | Online Article Text |
id | pubmed-10517052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105170522023-09-24 In-silico enhanced animal study of pulmonary artery pressure sensors: assessing hemodynamics using computational fluid dynamics Brüning, Jan Yevtushenko, Pavlo Schlief, Adriano Jochum, Tobias van Gijzen, Livia Meine, Sonja Romberg, Jan Kuehne, Titus Arndt, Andreas Goubergrits, Leonid Front Cardiovasc Med Cardiovascular Medicine To assess whether in-silico models can be used to predict the risk of thrombus formation in pulmonary artery pressure sensors (PAPS), a chronic animal study using pigs was conducted. Computed tomography (CT) data was acquired before and immediately after implantation, as well as one and three months after the implantation. Devices were implanted into 10 pigs, each one in the left and right pulmonary artery (PA), to reduce the required number of animal experiments. The implantation procedure aimed at facilitating optimal and non-optimal positioning of the devices to increase chances of thrombus formation. Eight devices were positioned non-optimally. Three devices were positioned in the main PA instead of the left and right PA. Pre-interventional PA geometries were reconstructed from the respective CT images, and the devices were virtually implanted at the exact sites and orientations indicated by the follow-up CT after one month. Transient intra-arterial hemodynamics were calculated using computational fluid dynamics. Volume flow rates were modelled specifically matching the animals body weights. Wall shear stresses (WSS) and oscillatory shear indices (OSI) before and after device implantation were compared. Simulations revealed no relevant changes in any investigated hemodynamic parameters due to device implantation. Even in cases, where devices were implanted in a non-optimal manner, no marked differences in hemodynamic parameters compared to devices implanted in an optimal position were found. Before implantation time and surface-averaged WSS was [Formula: see text] Pa, whereas OSI was [Formula: see text] , respectively. Areas affected by low WSS magnitudes were [Formula: see text] cm [Formula: see text] , whereas the areas affected by high OSI were [Formula: see text] cm [Formula: see text]. After device implantation, WSS and OSI were [Formula: see text] Pa and [Formula: see text] , respectively. Surface areas affected by low WSS and high OSI were [Formula: see text] cm [Formula: see text] , and [Formula: see text] cm [Formula: see text] , respectively. This in-silico study indicates that no clinically relevant differences in intra-arterial hemodynamics are occurring after device implantation, even at non-optimal positioning of the sensor. Simultaneously, no embolic events were observed, suggesting that the risk for thrombus formation after device implantation is low and independent of the sensor position. Frontiers Media S.A. 2023-09-07 /pmc/articles/PMC10517052/ /pubmed/37745132 http://dx.doi.org/10.3389/fcvm.2023.1193209 Text en © 2023 Brüning, Yevtushenko, Schlief, Jochum, van Gijzen, Meine, Romberg, Kuehne, Arndt and Goubergrits. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Brüning, Jan Yevtushenko, Pavlo Schlief, Adriano Jochum, Tobias van Gijzen, Livia Meine, Sonja Romberg, Jan Kuehne, Titus Arndt, Andreas Goubergrits, Leonid In-silico enhanced animal study of pulmonary artery pressure sensors: assessing hemodynamics using computational fluid dynamics |
title | In-silico enhanced animal study of pulmonary artery pressure sensors: assessing hemodynamics using computational fluid dynamics |
title_full | In-silico enhanced animal study of pulmonary artery pressure sensors: assessing hemodynamics using computational fluid dynamics |
title_fullStr | In-silico enhanced animal study of pulmonary artery pressure sensors: assessing hemodynamics using computational fluid dynamics |
title_full_unstemmed | In-silico enhanced animal study of pulmonary artery pressure sensors: assessing hemodynamics using computational fluid dynamics |
title_short | In-silico enhanced animal study of pulmonary artery pressure sensors: assessing hemodynamics using computational fluid dynamics |
title_sort | in-silico enhanced animal study of pulmonary artery pressure sensors: assessing hemodynamics using computational fluid dynamics |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517052/ https://www.ncbi.nlm.nih.gov/pubmed/37745132 http://dx.doi.org/10.3389/fcvm.2023.1193209 |
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