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PMID: 35151036 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Experimental evaluation of the patient-specific haemodynamics of an aortic dissection model using particle image velocimetry.

Journal of biomechanics ·Vol. 134 ·2022-00-00 ·页码 110963

Franzetti G, Bonfanti M, Homer-Vanniasinkam S, Diaz-Zuccarini V, Balabani S

Abstract

Aortic Dissection (AD) is a complex pathology that affects the aorta. Diagnosis, management and treatment remain a challenge as it is a highly patient-specific pathology and there is still a limited understanding of the fluid-mechanics phenomena underlying clinical outcomes. Although in vitro models can allow the accurate study of AD flow fields in physical phantoms, they are currently scarce and almost exclusively rely on over simplifying assumptions. In this work, we present the first experimental study of a patient-specific case of AD. An anatomically correct phantom was produced and combined with a state-of-the-art in vitro platform, informed by clinical data, employed to accurately reproduce personalised conditions. The complex AD haemodynamics reproduced by the platform was characterised by flow rate and pressure acquisitions as well as Particle Image Velocimetry (PIV) derived velocity fields. Clinically relevant haemodynamic indices, that can be correlated with AD prognosis - such as velocity, shear rate, turbulent kinetic energy distributions - were extracted in two regions of interest in the aortic domain. The acquired data highlighted the complex nature of the flow (e.g. recirculation regions, low shear rate in the false lumen) and was in very good agreement with the available clinical data and the CFD results of a study conducted alongside, demonstrating the accuracy of the findings. These results demonstrate that the described platform constitutes a powerful, unique tool to reproduce in vitro personalised haemodynamic conditions, which can be used to support the evaluation of surgical procedures, medical devices testing and to validate state-of-the-art numerical models.

Keywords
Aortic Dissection Haemodynamics Particle Image Velocimetry Patient-specific
MeSH 主题词
Aortic Dissection Aorta Blood Flow Velocity Hemodynamics Humans Models, Cardiovascular Rheology/methods
作者与单位
共 5 位作者,点击展开单位 / ORCID
Franzetti Gaia
Department of Mechanical Engineering, University College London, London, UK.
Bonfanti Mirko
Department of Mechanical Engineering, University College London, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Homer-Vanniasinkam Shervanthi
Department of Mechanical Engineering, University College London, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Department of Medical Physics and Biomedical Engineering, University College London, London, UK; Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Diaz-Zuccarini Vanessa
Department of Mechanical Engineering, University College London, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Balabani Stavroula
Department of Mechanical Engineering, University College London, London, UK; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Department of Medical Physics and Biomedical Engineering, University College London, London, UK. Electronic address: [email protected].
Article Info
Journal
Journal of biomechanics
Abbr.
J Biomech
ISSN
1873-2380
Corresponding email
Published
2022-00-00
电子出版
2022-00-30
页码
110963
Language
English
Country/Region
United States
NLM ID
0157375
基金资助
British Heart Foundation · FS/15/22/31356 · United Kingdom
British Heart Foundation · GA FS/15/22/31356 · United Kingdom
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