modelling single ventricle physiology: review of engineering tools to study first stage palliation of hypoplastic left heart syndrome

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ID: 164893
2013
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Abstract
First stage palliation of hypoplastic left heart syndrome (HLHS), i.e. the Norwood operation, results in a complex physiological arrangement, involving different shunting options (modified Blalock-Taussig, RV-PA conduit, central shunt from the ascending aorta) and enlargement of the hypoplastic ascending aorta. Engineering techniques, both computational and experimental, can aid in the understanding of the Norwood physiology and their correct implementation can potentially lead to refinement of the decision-making process, by means of patient-specific simulations. This paper presents some of the available tools that can corroborate clinical evidence by providing detailed insight into the fluid dynamics of the Norwood circulation as well as alternative surgical scenarios (i.e. virtual surgery). Patient-specific anatomies can be manufactured by means of rapid prototyping and such models can be inserted in experimental setups (mock circulatory loops) that can provide a valuable source of validation data as well as hydrodynamic information. Experimental setups can also be compatible with visualisation techniques, like particle image velocimetry (PIV) and cardiovascular magnetic resonance (CMR), further adding to the knowledge of the local fluid dynamics. Multi-scale computational models include detailed 3D anatomical information coupled to a lumped parameter network representing the remainder of the circulation. These models output both overall hemodynamic parameters while also enabling to investigate the local fluid dynamics of the aortic arch or the shunt. As an alternative, pure lumped parameter models can also be employed to model Stage 1 palliation, taking advantage of a much lower computational cost, albeit missing the 3D anatomical component. Finally, analytical techniques, such as wave intensity analysis, can be employed to study the Norwood physiology, providing a mechanistic perspective on the ventriculo-arterial coupling for this specific surgical scenario.
Reference Key
ebiglino2013frontiersmodelling Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Giovanni eBiglino;Giovanni eBiglino;Alessandro eGiardini;Tain-Yen eHsia;Richard eFigliola;Andrew M Taylor;Andrew M Taylor;Silvia eSchievano;Silvia eSchievano
Journal disease markers
Year 2013
DOI
10.3389/fped.2013.00031
URL
http://journal.frontiersin.org/Journal/10.3389/fped.2013.00031/full
Keywords
computational modelling single ventricle

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