Literature DB >> 20094915

Effects of the purkinje system and cardiac geometry on biventricular pacing: a model study.

Daniel Romero1, Rafael Sebastian, Bart H Bijnens, Viviana Zimmerman, Patrick M Boyle, Edward J Vigmond, Alejandro F Frangi.   

Abstract

Heart failure leads to gross cardiac structural changes. While cardiac resynchronization therapy (CRT) is a recognized treatment for restoring synchronous activation, it is not clear how changes in cardiac shape and size affect the electrical pacing therapy. This study used a human heart computer model which incorporated anatomical structures such as myofiber orientation and a Purkinje system (PS) to study how pacing affected failing hearts. The PS was modeled as a tree structure that reproduced its retrograde activation feature. In addition to a normal geometry, two cardiomyopathies were modeled: dilatation and hypertrophy. A biventricular pacing protocol was tested in the context of atrio-ventricular block. The contribution of the PS was examined by removing it, as well as by increasing endocardial conductivity. Results showed that retrograde conduction into the PS was a determining factor for achieving intraventricular synchrony. Omission of the PS led to an overestimate of the degree of electrical dyssynchrony while assessing CRT. The activation patterns for the three geometries showed local changes in the order of activation of the lateral wall in response to the same pacing strategy. These factors should be carefully considered when determining lead placement and optimizing device parameters in clinical practice.

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Year:  2010        PMID: 20094915     DOI: 10.1007/s10439-010-9926-4

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  13 in total

1.  Patient-specific generation of the Purkinje network driven by clinical measurements of a normal propagation.

Authors:  Christian Vergara; Simone Palamara; Domenico Catanzariti; Fabio Nobile; Elena Faggiano; Cesarino Pangrazzi; Maurizio Centonze; Massimiliano Maines; Alfio Quarteroni; Giuseppe Vergara
Journal:  Med Biol Eng Comput       Date:  2014-08-24       Impact factor: 2.602

2.  Rabbit-specific ventricular model of cardiac electrophysiological function including specialized conduction system.

Authors:  R Bordas; K Gillow; Q Lou; I R Efimov; D Gavaghan; P Kohl; V Grau; B Rodriguez
Journal:  Prog Biophys Mol Biol       Date:  2011-06-13       Impact factor: 3.667

3.  euHeart: personalized and integrated cardiac care using patient-specific cardiovascular modelling.

Authors:  Nic Smith; Adelaide de Vecchi; Matthew McCormick; David Nordsletten; Oscar Camara; Alejandro F Frangi; Hervé Delingette; Maxime Sermesant; Jatin Relan; Nicholas Ayache; Martin W Krueger; Walther H W Schulze; Rod Hose; Israel Valverde; Philipp Beerbaum; Cristina Staicu; Maria Siebes; Jos Spaan; Peter Hunter; Juergen Weese; Helko Lehmann; Dominique Chapelle; Reza Rezavi
Journal:  Interface Focus       Date:  2011-04-01       Impact factor: 3.906

Review 4.  Computational approaches to understand cardiac electrophysiology and arrhythmias.

Authors:  Byron N Roberts; Pei-Chi Yang; Steven B Behrens; Jonathan D Moreno; Colleen E Clancy
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-08-10       Impact factor: 4.733

Review 5.  Computational rabbit models to investigate the initiation, perpetuation, and termination of ventricular arrhythmia.

Authors:  Hermenegild J Arevalo; Patrick M Boyle; Natalia A Trayanova
Journal:  Prog Biophys Mol Biol       Date:  2016-06-19       Impact factor: 3.667

Review 6.  Mathematical modeling and simulation of ventricular activation sequences: implications for cardiac resynchronization therapy.

Authors:  Mark Potse
Journal:  J Cardiovasc Transl Res       Date:  2012-01-27       Impact factor: 4.132

Review 7.  Three-dimensional cardiac computational modelling: methods, features and applications.

Authors:  Alejandro Lopez-Perez; Rafael Sebastian; Jose M Ferrero
Journal:  Biomed Eng Online       Date:  2015-04-17       Impact factor: 2.819

Review 8.  Images as drivers of progress in cardiac computational modelling.

Authors:  Pablo Lamata; Ramón Casero; Valentina Carapella; Steve A Niederer; Martin J Bishop; Jürgen E Schneider; Peter Kohl; Vicente Grau
Journal:  Prog Biophys Mol Biol       Date:  2014-08-10       Impact factor: 3.667

9.  An image-based model of the whole human heart with detailed anatomical structure and fiber orientation.

Authors:  Dongdong Deng; Peifeng Jiao; Xuesong Ye; Ling Xia
Journal:  Comput Math Methods Med       Date:  2012-08-17       Impact factor: 2.238

10.  The role of Purkinje-myocardial coupling during ventricular arrhythmia: a modeling study.

Authors:  Elham Behradfar; Anders Nygren; Edward J Vigmond
Journal:  PLoS One       Date:  2014-02-07       Impact factor: 3.240

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