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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...

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Autores principales: Brüning, Jan, Yevtushenko, Pavlo, Schlief, Adriano, Jochum, Tobias, van Gijzen, Livia, Meine, Sonja, Romberg, Jan, Kuehne, Titus, Arndt, Andreas, Goubergrits, Leonid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
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.
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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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