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Multi-modality image-based computational analysis of haemodynamics in aortic dissection

Aortic dissection is a disease whereby an injury in the wall of the aorta leads to the creation of a true lumen and a false lumen separated by an intimal flap which may contain multiple communicating tears between the lumina. It has a high associated morbidity and mortality, but at present, the timi...

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Autores principales: Dillon-Murphy, Desmond, Noorani, Alia, Nordsletten, David, Figueroa, C. Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4945697/
https://www.ncbi.nlm.nih.gov/pubmed/26416312
http://dx.doi.org/10.1007/s10237-015-0729-2
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author Dillon-Murphy, Desmond
Noorani, Alia
Nordsletten, David
Figueroa, C. Alberto
author_facet Dillon-Murphy, Desmond
Noorani, Alia
Nordsletten, David
Figueroa, C. Alberto
author_sort Dillon-Murphy, Desmond
collection PubMed
description Aortic dissection is a disease whereby an injury in the wall of the aorta leads to the creation of a true lumen and a false lumen separated by an intimal flap which may contain multiple communicating tears between the lumina. It has a high associated morbidity and mortality, but at present, the timing of surgical intervention for stable type B dissections remains an area of debate. Detailed knowledge of haemodynamics may yield greater insight into the long-term outcomes for dissection patients by providing a greater understanding of pressures, wall shear stress and velocities in and around the dissection. In this paper, we aim to gather further insight into the complex haemodynamics in aortic dissection using medical imaging and computational fluid dynamics modelling. Towards this end, several computer models of the aorta of a patient presenting with an acute Stanford type B dissection were created whereby morphometric parameters related to the dissection septum were altered, such as removal of the septum, and the variation of the number of connecting tears between the lumina. Patient-specific flow data acquired using 2D PC-MRI in the ascending aorta were used to set the inflow boundary condition. Coupled zero-dimensional (Windkessel) models representing the distal vasculature were used to define the outlet boundary conditions and tuned to match 2D PC-MRI flow data acquired in the descending aorta. Haemodynamics in the dissected aorta were compared to those in an equivalent ‘healthy aorta’, created by virtually removing the intimal flap (septum). Local regions of increased velocity, pressure, wall shear stress and alterations in flow distribution were noted, particularly in the narrow true lumen and around the primary entry tear. The computed flow patterns compared favourably with those obtained using 4D PC-MRI. A lumped-parameter heart model was subsequently used to show that in this case there was an estimated 14 % increase in left ventricular stroke work with the onset of dissection. Finally, the effect of secondary connecting tears (i.e. those excluding the primary entry and exit tears) was also studied, revealing significant haemodynamic changes when no secondary tears are included in the model, particularly in the true lumen where increases in flow over [Formula: see text] and drops in peak pressure of 18 % were observed.
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spelling pubmed-49456972016-07-26 Multi-modality image-based computational analysis of haemodynamics in aortic dissection Dillon-Murphy, Desmond Noorani, Alia Nordsletten, David Figueroa, C. Alberto Biomech Model Mechanobiol Original Paper Aortic dissection is a disease whereby an injury in the wall of the aorta leads to the creation of a true lumen and a false lumen separated by an intimal flap which may contain multiple communicating tears between the lumina. It has a high associated morbidity and mortality, but at present, the timing of surgical intervention for stable type B dissections remains an area of debate. Detailed knowledge of haemodynamics may yield greater insight into the long-term outcomes for dissection patients by providing a greater understanding of pressures, wall shear stress and velocities in and around the dissection. In this paper, we aim to gather further insight into the complex haemodynamics in aortic dissection using medical imaging and computational fluid dynamics modelling. Towards this end, several computer models of the aorta of a patient presenting with an acute Stanford type B dissection were created whereby morphometric parameters related to the dissection septum were altered, such as removal of the septum, and the variation of the number of connecting tears between the lumina. Patient-specific flow data acquired using 2D PC-MRI in the ascending aorta were used to set the inflow boundary condition. Coupled zero-dimensional (Windkessel) models representing the distal vasculature were used to define the outlet boundary conditions and tuned to match 2D PC-MRI flow data acquired in the descending aorta. Haemodynamics in the dissected aorta were compared to those in an equivalent ‘healthy aorta’, created by virtually removing the intimal flap (septum). Local regions of increased velocity, pressure, wall shear stress and alterations in flow distribution were noted, particularly in the narrow true lumen and around the primary entry tear. The computed flow patterns compared favourably with those obtained using 4D PC-MRI. A lumped-parameter heart model was subsequently used to show that in this case there was an estimated 14 % increase in left ventricular stroke work with the onset of dissection. Finally, the effect of secondary connecting tears (i.e. those excluding the primary entry and exit tears) was also studied, revealing significant haemodynamic changes when no secondary tears are included in the model, particularly in the true lumen where increases in flow over [Formula: see text] and drops in peak pressure of 18 % were observed. Springer Berlin Heidelberg 2015-09-28 2016 /pmc/articles/PMC4945697/ /pubmed/26416312 http://dx.doi.org/10.1007/s10237-015-0729-2 Text en © The Author(s) 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
Dillon-Murphy, Desmond
Noorani, Alia
Nordsletten, David
Figueroa, C. Alberto
Multi-modality image-based computational analysis of haemodynamics in aortic dissection
title Multi-modality image-based computational analysis of haemodynamics in aortic dissection
title_full Multi-modality image-based computational analysis of haemodynamics in aortic dissection
title_fullStr Multi-modality image-based computational analysis of haemodynamics in aortic dissection
title_full_unstemmed Multi-modality image-based computational analysis of haemodynamics in aortic dissection
title_short Multi-modality image-based computational analysis of haemodynamics in aortic dissection
title_sort multi-modality image-based computational analysis of haemodynamics in aortic dissection
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4945697/
https://www.ncbi.nlm.nih.gov/pubmed/26416312
http://dx.doi.org/10.1007/s10237-015-0729-2
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