TY - JOUR
T1 - A Patient-Specific CFD Pipeline Using Doppler Echocardiography for Application in Coarctation of the Aorta in a Limited Resource Clinical Context
AU - Swanson, Liam
AU - Owen, Benjamin
AU - Keshmiri, Amir
AU - Deyranlou, Amin
AU - Aldersley, Thomas
AU - Lawrenson, John
AU - Human, Paul
AU - De Decker, Rik
AU - Fourie, Barend
AU - Comitis, George
AU - Engel, Mark E.
AU - Keavney, Bernard
AU - Zühlke, Liesl
AU - Ngoepe, Malebogo
AU - Revell, Alistair
N1 - Funding Information:
We would like to acknowledge the contribution of Professor Bongani Mayosi to the PROTEA project and for his scientific engagement throughout the project until his passing. His legacy lives on in this work. C. Crosby who is based at the Centre for High Performance Computing at the Council for Scientific and Industrial Research, South Africa is thanked for his contribution to consultation on the use of high-performance computing resources. Funding. This research was supported financially by the United Kingdom Medical Research Council (UK MRC) and National Research Foundation, via the Newton Fund. LS was supported by The National Research Foundation (NRF) of South Africa and the University of Cape Town. LZ was funded by the United Kingdom Medical Research Council (MRC) and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement, via the African Research Leader Award. BK was supported by a British Heart Foundation Personal Chair. ME was supported by a grant, NW17SFRN33630027 from the American Heart Association, United States. Any opinion, findings and conclusion or recommendations expressed in this publication are those of the authors and the NRF does not accept liability in this regard.
Publisher Copyright:
© Copyright © 2020 Swanson, Owen, Keshmiri, Deyranlou, Aldersley, Lawrenson, Human, De Decker, Fourie, Comitis, Engel, Keavney, Zühlke, Ngoepe and Revell.
PY - 2020/6/3
Y1 - 2020/6/3
N2 - Congenital heart disease (CHD) is the most common birth defect globally and coarctation of the aorta (CoA) is one of the commoner CHD conditions, affecting around 1/1800 live births. CoA is considered a CHD of critical severity. Unfortunately, the prognosis for a child born in a low and lower-middle income country (LLMICs) with CoA is far worse than in a high-income country. Reduced diagnostic and interventional capacities of specialists in these regions lead to delayed diagnosis and treatment, which in turn lead to more cases presenting at an advanced stage. Computational fluid dynamics (CFD) is an important tool in this context since it can provide additional diagnostic data in the form of hemodynamic parameters. It also provides an in silico framework, both to test potential procedures and to assess the risk of further complications arising post-repair. Although this concept is already in practice in high income countries, the clinical infrastructure in LLMICs can be sparse, and access to advanced imaging modalities such as phase contrast magnetic resonance imaging (PC-MRI) is limited, if not impossible. In this study, a pipeline was developed in conjunction with clinicians at the Red Cross War Memorial Children’s Hospital, Cape Town and was applied to perform a patient-specific CFD study of CoA. The pipeline uses data acquired from CT angiography and Doppler transthoracic echocardiography (both much more clinically available than MRI in LLMICs), while segmentation is conducted via SimVascular and simulation is realized using OpenFOAM. The reduction in cost through use of open-source software and the use of broadly available imaging modalities makes the methodology clinically feasible and repeatable within resource-constrained environments. The project identifies the key role of Doppler echocardiography, despite its disadvantages, as an intrinsic component of the pipeline if it is to be used routinely in LLMICs.
AB - Congenital heart disease (CHD) is the most common birth defect globally and coarctation of the aorta (CoA) is one of the commoner CHD conditions, affecting around 1/1800 live births. CoA is considered a CHD of critical severity. Unfortunately, the prognosis for a child born in a low and lower-middle income country (LLMICs) with CoA is far worse than in a high-income country. Reduced diagnostic and interventional capacities of specialists in these regions lead to delayed diagnosis and treatment, which in turn lead to more cases presenting at an advanced stage. Computational fluid dynamics (CFD) is an important tool in this context since it can provide additional diagnostic data in the form of hemodynamic parameters. It also provides an in silico framework, both to test potential procedures and to assess the risk of further complications arising post-repair. Although this concept is already in practice in high income countries, the clinical infrastructure in LLMICs can be sparse, and access to advanced imaging modalities such as phase contrast magnetic resonance imaging (PC-MRI) is limited, if not impossible. In this study, a pipeline was developed in conjunction with clinicians at the Red Cross War Memorial Children’s Hospital, Cape Town and was applied to perform a patient-specific CFD study of CoA. The pipeline uses data acquired from CT angiography and Doppler transthoracic echocardiography (both much more clinically available than MRI in LLMICs), while segmentation is conducted via SimVascular and simulation is realized using OpenFOAM. The reduction in cost through use of open-source software and the use of broadly available imaging modalities makes the methodology clinically feasible and repeatable within resource-constrained environments. The project identifies the key role of Doppler echocardiography, despite its disadvantages, as an intrinsic component of the pipeline if it is to be used routinely in LLMICs.
KW - coarctation of the aorta
KW - computational fluid dynamics
KW - congenital heart disease
KW - Doppler echocardiography
KW - patient-specific
UR - http://www.scopus.com/inward/record.url?scp=85086562861&partnerID=8YFLogxK
U2 - 10.3389/fbioe.2020.00409
DO - 10.3389/fbioe.2020.00409
M3 - Article
AN - SCOPUS:85086562861
SN - 2296-4185
VL - 8
JO - Frontiers in Bioengineering and Biotechnology
JF - Frontiers in Bioengineering and Biotechnology
M1 - 409
ER -