Literature DB >> 24460213

Computational fluid dynamics simulation to evaluate aortic coarctation gradient with contrast-enhanced CT.

Antonino Rinaudo1, Giuseppe D'Ancona, Roberto Baglini, Andrea Amaducci, Fabrizio Follis, Michele Pilato, Salvatore Pasta.   

Abstract

Coarctation of aorta (CoA) is a narrowing of the aorta leading to a pressure gradient (ΔP) across the coarctation, increased afterload and reduced peripheral perfusion pressures. Indication to invasive treatment is based on values of maximal (systolic) trans-coarctation ΔP. A computational fluid dynamic (CFD) approach is herein presented for the non-invasive haemodynamic assessment of ΔP across CoA. Patient-specific CFD simulations were created from contrast-enhanced computed tomography (CT) and appropriate flow boundary conditions. Computed ΔP was validated with invasive intravascular trans-CoA pressure measurements. Haemodynamic indices, including pressure loss coefficient (PLc), time-averaged wall shear stress (TAWSS) and oscillatory shear index (OSI), were also quantified. CFD-estimated ΔP values were comparable to the invasive ones. Moreover, the aorta proximal to CoA was exposed to altered TAWSS and OSI suggesting hypertension. PLc was found as a further geometric marker of CoA severity. Finally, CFD-estimated ΔP confirmed a significant reduction after percutaneous balloon dilatation and stenting of the CoA in one patient (e.g. from ΔP∼52 mmHg to ΔP∼3 mmHg). The validation of the ΔP computations with catheterisation measurements suggests that CFD simulation, based on CT-derived anatomical data, is a useful tool to readily quantify CoA severity.

Entities:  

Keywords:  coarctation of aorta; computational fluid dynamics; contrast-enhanced computed tomography; pressure gradient

Year:  2014        PMID: 24460213     DOI: 10.1080/10255842.2013.869321

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  5 in total

1.  Assessment of turbulent blood flow and wall shear stress in aortic coarctation using image-based simulations.

Authors:  Romana Perinajová; Joe F Juffermans; Jonhatan Lorenzo Mercado; Jean-Paul Aben; Leon Ledoux; Jos J M Westenberg; Hildo J Lamb; Saša Kenjereš
Journal:  Biomed Eng Online       Date:  2021-08-21       Impact factor: 2.819

2.  Image quality and radiation dose of ECG-triggered High-Pitch Dual-Source cardiac computed tomography angiography in children for the evaluation of central vascular stents.

Authors:  Christian A Barrera; Hansel J Otero; Ammie M White; David Saul; David M Biko
Journal:  Int J Cardiovasc Imaging       Date:  2019-01-25       Impact factor: 2.357

3.  Accelerated Estimation of Pulmonary Artery Stenosis Pressure Gradients with Distributed Lumped Parameter Modeling vs. 3D CFD with Instantaneous Adaptive Mesh Refinement: Experimental Validation in Swine.

Authors:  Ryan Pewowaruk; Luke Lamers; Alejandro Roldán-Alzate
Journal:  Ann Biomed Eng       Date:  2021-05-04       Impact factor: 4.219

4.  A Patient-Specific CFD Pipeline Using Doppler Echocardiography for Application in Coarctation of the Aorta in a Limited Resource Clinical Context.

Authors:  Liam Swanson; Benjamin Owen; Amir Keshmiri; Amin Deyranlou; Thomas Aldersley; John Lawrenson; Paul Human; Rik De Decker; Barend Fourie; George Comitis; Mark E Engel; Bernard Keavney; Liesl Zühlke; Malebogo Ngoepe; Alistair Revell
Journal:  Front Bioeng Biotechnol       Date:  2020-06-03

5.  Model-Based Therapy Planning Allows Prediction of Haemodynamic Outcome after Aortic Valve Replacement.

Authors:  M Kelm; L Goubergrits; J Bruening; P Yevtushenko; J F Fernandes; S H Sündermann; F Berger; V Falk; T Kuehne; S Nordmeyer
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

  5 in total

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