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Clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography

BACKGROUND: Hemodynamic information including peak systolic pressure (PSP) and peak systolic velocity (PSV) carry an important role in evaluation and diagnosis of congenital heart disease (CHD). Since MDCTA cannot evaluate hemodynamic information directly, the aim of this study is to provide a nonin...

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Autores principales: Zhu, Yulei, Chen, Rui, Juan, Yu-Hsiang, Li, He, Wang, Jingjing, Yu, Zhuliang, Liu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932836/
https://www.ncbi.nlm.nih.gov/pubmed/29720173
http://dx.doi.org/10.1186/s12938-018-0485-5
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author Zhu, Yulei
Chen, Rui
Juan, Yu-Hsiang
Li, He
Wang, Jingjing
Yu, Zhuliang
Liu, Hui
author_facet Zhu, Yulei
Chen, Rui
Juan, Yu-Hsiang
Li, He
Wang, Jingjing
Yu, Zhuliang
Liu, Hui
author_sort Zhu, Yulei
collection PubMed
description BACKGROUND: Hemodynamic information including peak systolic pressure (PSP) and peak systolic velocity (PSV) carry an important role in evaluation and diagnosis of congenital heart disease (CHD). Since MDCTA cannot evaluate hemodynamic information directly, the aim of this study is to provide a noninvasive method based on a computational fluid dynamics (CFD) model, derived from multi-detector computed tomography angiography (MDCTA) raw data, to analyze the aortic hemodynamics in infants with CHD, and validate these results against echocardiography and cardiac catheter measurements. METHODS: This study included 25 patients (17 males, and 8 females; a median age of 2 years, range: 4 months–4 years) with CHD. All patients underwent both transthoracic echocardiography (TTE) and MDCTA within 2 weeks prior to cardiac catheterization. CFD models were created from MDCTA raw data. Boundary conditions were confirmed by lumped parameter model and transthoracic echocardiography (TTE). Peak systolic velocity derived from CFD models (PSV(CFD)) was compared to TTE measurements (PSV(TTE)), while the peak systolic pressure derived from CFD (PSP(CFD)) was compared to catheterization (PSP(CC)). Regions with low and high peak systolic wall shear stress (PSWSS) were also evaluated. RESULTS: PSV(CFD) and PSP(CFD) showed good agreements between PSV(TTE) (r = 0.968, p < 0.001; mean bias = − 7.68 cm/s) and PSP(CC) (r = 0.918, p < 0.001; mean bias = 1.405 mmHg). Regions with low and high PSWSS) can also be visualized. Skewing of velocity or helical blood flow was also observed at aortic arch in patients. CONCLUSIONS: Our result demonstrated that CFD scheme based on MDCTA raw data is an accurate and convenient method in obtaining the velocity and pressure from aorta and displaying the distribution of PSWSS and flow pattern of aorta. The preliminary results from our study demonstrate the capability in combining clinical imaging data and novel CFD tools in infants with CHD and provide a noninvasive approach for diagnose of CHD such as coarctation of aorta in future.
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spelling pubmed-59328362018-05-09 Clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography Zhu, Yulei Chen, Rui Juan, Yu-Hsiang Li, He Wang, Jingjing Yu, Zhuliang Liu, Hui Biomed Eng Online Research BACKGROUND: Hemodynamic information including peak systolic pressure (PSP) and peak systolic velocity (PSV) carry an important role in evaluation and diagnosis of congenital heart disease (CHD). Since MDCTA cannot evaluate hemodynamic information directly, the aim of this study is to provide a noninvasive method based on a computational fluid dynamics (CFD) model, derived from multi-detector computed tomography angiography (MDCTA) raw data, to analyze the aortic hemodynamics in infants with CHD, and validate these results against echocardiography and cardiac catheter measurements. METHODS: This study included 25 patients (17 males, and 8 females; a median age of 2 years, range: 4 months–4 years) with CHD. All patients underwent both transthoracic echocardiography (TTE) and MDCTA within 2 weeks prior to cardiac catheterization. CFD models were created from MDCTA raw data. Boundary conditions were confirmed by lumped parameter model and transthoracic echocardiography (TTE). Peak systolic velocity derived from CFD models (PSV(CFD)) was compared to TTE measurements (PSV(TTE)), while the peak systolic pressure derived from CFD (PSP(CFD)) was compared to catheterization (PSP(CC)). Regions with low and high peak systolic wall shear stress (PSWSS) were also evaluated. RESULTS: PSV(CFD) and PSP(CFD) showed good agreements between PSV(TTE) (r = 0.968, p < 0.001; mean bias = − 7.68 cm/s) and PSP(CC) (r = 0.918, p < 0.001; mean bias = 1.405 mmHg). Regions with low and high PSWSS) can also be visualized. Skewing of velocity or helical blood flow was also observed at aortic arch in patients. CONCLUSIONS: Our result demonstrated that CFD scheme based on MDCTA raw data is an accurate and convenient method in obtaining the velocity and pressure from aorta and displaying the distribution of PSWSS and flow pattern of aorta. The preliminary results from our study demonstrate the capability in combining clinical imaging data and novel CFD tools in infants with CHD and provide a noninvasive approach for diagnose of CHD such as coarctation of aorta in future. BioMed Central 2018-05-02 /pmc/articles/PMC5932836/ /pubmed/29720173 http://dx.doi.org/10.1186/s12938-018-0485-5 Text en © The Author(s) 2018 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Zhu, Yulei
Chen, Rui
Juan, Yu-Hsiang
Li, He
Wang, Jingjing
Yu, Zhuliang
Liu, Hui
Clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography
title Clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography
title_full Clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography
title_fullStr Clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography
title_full_unstemmed Clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography
title_short Clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography
title_sort clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932836/
https://www.ncbi.nlm.nih.gov/pubmed/29720173
http://dx.doi.org/10.1186/s12938-018-0485-5
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