Modeling of coarctation of aorta in human fetuses using 3D/4D fetal echocardiography and computational fluid dynamics

Chen, Zhuo; Zhou, Yue; Wang, Jingying; Liu, Xiaowei; Ge, Shuping; He, Yihua

doi:10.1111/echo.13644

Cited by 19 publications

(12 citation statements)

References 22 publications

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“…Due to the continuous movement of the heart, the imaging effects of MRI, MRA, and X-ray tomography based on solid imaging in the surrounding area of the heart are poor. Therefore, at present, hospitals tend to use Doppler imaging and electronic tomography for enhanced scanning imaging and form a three-dimensional model for clinical evaluation [5]. Longterm hypertension can thicken or harden the arterial wall, narrow the lumen, and then affect the blood supply to the heart and brain.…”

Section: Introductionmentioning

confidence: 99%

Research on Diagnosis Architecture of Cardiovascular Diseases Based on Multimedical Images

Che

Zhao

et al. 2022

Computational and Mathematical Methods in Medicine

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Objective. To study the effect of a multi-image source 3D modeling imaging examination system on the diagnosis of cardiovascular diseases in cardiac surgery. Methods. The data of 680 confirmed patients and 1590 suspected patients in the cardiac surgery department of all hospitals of a large chain hospital management group were selected. All patients gave the examination results of multiple image sources and independent examination results of multiple image sources, respectively, their examination sensitivity, specificity, and reliability were compared, and the treatment efficiency and nursing satisfaction of the virtual reference group were deduced in MATLAB. Perform the bivariate t -test and comparative statistics in SPSS. Results. The multi-image source 3D modeling examination system had higher examination sensitivity, specificity, and reliability and higher examination sensitivity in the early stage of the disease. It was deduced that the clinical efficiency and nursing satisfaction based on the examination results were significantly improved ( t < 10.000 , p < 0.01 ). Conclusion. The multi-image source 3D modeling imaging examination system is suitable for the diagnosis of cardiovascular diseases in cardiac surgery.

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Section: Introductionmentioning

confidence: 99%

Research on Diagnosis Architecture of Cardiovascular Diseases Based on Multimedical Images

Che

Zhao

et al. 2022

Computational and Mathematical Methods in Medicine

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“…Computational modeling of blood flow dynamics in fetal blood vessels have also been conducted to better understand flow patterns and forces in fetal coarctation of the aorta (CoA; Box 1) (Chen et al, 2017). 3D STIC fetal echocardiography images of the aortic and ductal arches of normal human fetuses at 32 weeks of gestation were obtained and computational models with reduced aortic isthmus (Box 1) dimensions created to emulate CoA.…”

Section: Sheepmentioning

confidence: 99%

Mending a broken heart: In vitro, in vivo and in silico models of congenital heart disease

Rufaihah

Chen

Yap

et al. 2021

Disease Models &Amp; Mechanisms

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Birth defects contribute to ∼0.3% of global infant mortality in the first month of life, and congenital heart disease (CHD) is the most common birth defect among newborns worldwide. Despite the significant impact on human health, most treatments available for this heterogenous group of disorders are palliative at best. For this reason, the complex process of cardiogenesis, governed by multiple interlinked and dose-dependent pathways, is well investigated. Tissue, animal and, more recently, computerized models of the developing heart have facilitated important discoveries that are helping us to understand the genetic, epigenetic and mechanobiological contributors to CHD aetiology. In this Review, we discuss the strengths and limitations of different models of normal and abnormal cardiogenesis, ranging from single-cell systems and 3D cardiac organoids, to small and large animals and organ-level computational models. These investigative tools have revealed a diversity of pathogenic mechanisms that contribute to CHD, including genetic pathways, epigenetic regulators and shear wall stresses, paving the way for new strategies for screening and non-surgical treatment of CHD. As we discuss in this Review, one of the most-valuable advances in recent years has been the creation of highly personalized platforms with which to study individual diseases in clinically relevant settings.

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“…Multisource data (Merrill et al, 1963;Skalak et al, 1981;Biro, 1982) is employed to verify the non-Newtonian Carreau model in section "CFD Models". FLUENT, the CFD solver in this work has been regarded as a successful tool to simulate blood flows in many studies (Ren et al, 2012;Doost et al, 2016;Chen Z. et al, 2017). A tube non-Newtonian blood flow solution with the Carreau model of Tabakova et al (2014) is used to examine the simulation accuracy of FLUENT.…”

Section: Non-newtonian Model Calibration and Comparison Testingmentioning

confidence: 99%

Hemodynamic Analysis of VenaTech Convertible Vena Cava Filter Using Computational Fluid Dynamics

Wang

Huang

Zhou

et al. 2020

Front. Bioeng. Biotechnol.

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The VenaTech convertible filter (VTCF) has been widely used as an inferior vena cava (IVC) filter to prevent fatal pulmonary embolism in patients. However, its hemodynamics that greatly affect the filter efficacy and IVC patency are still unclear. This paper uses computational fluid dynamics with the Carreau model to simulate the non-Newtonian blood flows around the VTCF respectively deployed in the normal, reverse and three converted states in an IVC model. The results show that the prothrombotic stagnation zones are observed downstream from the normal, reverse and small open VTCFs, with the streamwise length is nearly eight times the IVC diameter. The no-slip boundary conditions of the thin-wire VTCF arms lead to the "viscous block" effect. The viscous block accelerates the blood flow by 5-15% inside the IVC and enhances the filter wall shear stress up to nearly 20 times that of the IVC only, which contributes to clot capture and thrombus lysis. The relative flow resistance is defined to evaluate the filter-induced resistance on the IVC blood flow that can be regarded as an index of IVC patency with the filter deployment. The flow resistance of the normal VTCF deployment increases dramatically by more than 60% compared with that of the IVC only and is a little higher (6%) than that of the reverse case. As the VTCF converts to a fully open configuration, the flow resistance gradually decreases to that of no filter. This work shows that even very thin VTCF arms can result in the viscous block effect and may cause significant hemodynamic impacts on clot capture, potential thrombosis and flow impedance inside the IVC. The present study also shows that CFD is a valuable and feasible in silico tool for analyzing the IVC filter hemodynamics to complement in vivo clinical and in vitro experimental studies.

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Modeling of coarctation of aorta in human fetuses using 3D/4D fetal echocardiography and computational fluid dynamics

Cited by 19 publications

References 22 publications

Research on Diagnosis Architecture of Cardiovascular Diseases Based on Multimedical Images

Research on Diagnosis Architecture of Cardiovascular Diseases Based on Multimedical Images

Mending a broken heart: In vitro, in vivo and in silico models of congenital heart disease

Hemodynamic Analysis of VenaTech Convertible Vena Cava Filter Using Computational Fluid Dynamics

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