Literature DB >> 28843327

Role of Computational Modelling in Planning and Executing Interventional Procedures for Congenital Heart Disease.

Timothy C Slesnick1.   

Abstract

Increasingly, computational modelling and numerical simulations are used to help plan complex surgical and interventional cardiovascular procedures in children and young adults with congenital heart disease. From its origins more than 30 years ago, surgical planning with analysis of flow hemodynamics and energy loss/efficiency has helped design and implement many modifications to existing techniques. On the basis of patient-specific medical imaging, surgical planning allows accurate model production that can then be manipulated in a virtual surgical environment, with the proposed solutions finally tested with advanced computational fluid dynamics to evaluate the results. Applications include a broad range of congenital heart disease, including patients with single-ventricle anatomy undergoing staged palliation, those with arch obstruction, with double outlet right ventricle, or with tetralogy of Fallot. In the present work, we focus on clinical applications of this exciting field. We describe the framework for these techniques, including brief descriptions of the engineering principles applied and the interaction between "benchtop" data with medical decision-making. We highlight some early insights learned from pioneers over the past few decades, including refinements in Fontan baffle geometries and configurations. Finally, we offer a glimpse into exciting advances that are presently being explored, including use of modelling for transcatheter interventions. In this era of personalized medicine, computational modelling and surgical planning allows patient-specific tailoring of interventions to optimize clinical outcomes.
Copyright © 2017 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2017        PMID: 28843327     DOI: 10.1016/j.cjca.2017.05.024

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  6 in total

1.  Computational Identification of Ventricular Arrhythmia Risk in Pediatric Myocarditis.

Authors:  Mark J Cartoski; Plamen P Nikolov; Adityo Prakosa; Patrick M Boyle; Philip J Spevak; Natalia A Trayanova
Journal:  Pediatr Cardiol       Date:  2019-03-06       Impact factor: 1.655

Review 2.  Percutaneous Pulmonary Valve Implantation: Current Status and Future Perspectives.

Authors:  Bart W Driesen; Evangeline G Warmerdam; Gert-Jan Sieswerda; Folkert J Meijboom; Mirella M C Molenschot; Pieter A Doevendans; Gregor J Krings; Arie P J van Dijk; Michiel Voskuil
Journal:  Curr Cardiol Rev       Date:  2019

3.  Modelling physiology of haemodynamic adaptation in short-term microgravity exposure and orthostatic stress on Earth.

Authors:  Parvin Mohammadyari; Giacomo Gadda; Angelo Taibi
Journal:  Sci Rep       Date:  2021-02-25       Impact factor: 4.379

Review 4.  Computational Analysis of the Pulmonary Arteries in Congenital Heart Disease: A Review of the Methods and Results.

Authors:  M Conijn; G J Krings
Journal:  Comput Math Methods Med       Date:  2021-04-01       Impact factor: 2.238

5.  Simulation of Cardiac Flow under the Septal Defect Based on Lattice Boltzmann Method.

Authors:  Zhengdao Wang; Xiandong Zhang; Yumeng Li; Hui Yang; Haihong Xue; Yikun Wei; Yuehong Qian
Journal:  Entropy (Basel)       Date:  2022-01-27       Impact factor: 2.524

6.  Paediatric haemodynamic modelling: development and experimental validation using quantitative flow MRI.

Authors:  Parvin Mohammadyari; Giacomo Gadda; Angelo Taibi; Josep Munuera Del Cerro
Journal:  Eur Radiol Exp       Date:  2020-03-16
  6 in total

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