Literature DB >> 15125713

A comparison of biventricular and conventional transvenous defibrillation: a computational study using patient derived models.

Daniel Mocanu1, Joachim Kettenbach, Michael O Sweeney, Ron Kikinis, Bruce H Kenknight, Solomon R Eisenberg.   

Abstract

Conventional transvenous defibrillation is performed with an ICD using a dual current pathway. The defibrillation energy is delivered from the RV electrode to the superior vena cava (SVC) electrode and the metallic case (CAN) of the ICD. Biventricular defibrillation uses an additional electrode placed in the LV free wall with sequential shocks to create an additional current vector. Clinical studies of biventricular defibrillation have reported a 45% reduction in mean defibrillation threshold (DFT) energy. The aim of the study was to use computational methods to examine the biventricular defibrillation fields together with their corresponding DFTs in a variety of patient derived models and to compare them to simulations of conventional defibrillation. A library of thoracic models derived from nine patients was used to solve for electric field distributions. The defibrillation waveform consisted of a LV --> SVC + CAN monophasic shock followed by a biphasic shock delivered via the RV --> SVC + CAN electrodes. When the initial voltage of the two shocks is the same, the simulations show that the biventricular configuration reduces the mean DFT by 46% (3.5 +/- 1.3 vs 5.5 +/- 2.7 J, P = 0.005). When the leading edge of the biphasic shock is equal to the trailing edge of the monophasic shock, there is no statistically significant difference in the mean DFT (4.9 +/- 1.9 vs 5.5 +/- 2.7 J, P > 0.05) with the DFT decreasing in some patients and increasing in others. These results suggest that patient-specific computational models may be able to identify those patients who would most benefit from a biventricular configuration.

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Year:  2004        PMID: 15125713     DOI: 10.1111/j.1540-8159.2004.00491.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  3 in total

1.  Finite element modeling of subcutaneous implantable defibrillator electrodes in an adult torso.

Authors:  Matthew Jolley; Jeroen Stinstra; Jess Tate; Steve Pieper; Rob Macleod; Larry Chu; Paul Wang; John K Triedman
Journal:  Heart Rhythm       Date:  2010-02-01       Impact factor: 6.343

2.  A computer modeling tool for comparing novel ICD electrode orientations in children and adults.

Authors:  Matthew Jolley; Jeroen Stinstra; Steve Pieper; Rob Macleod; Dana H Brooks; Frank Cecchin; John K Triedman
Journal:  Heart Rhythm       Date:  2008-01-17       Impact factor: 6.343

3.  Development of an Anatomically Realistic Forward Solver for Thoracic Electrical Impedance Tomography.

Authors:  Fei Yang; Jie Zhang; Robert Patterson
Journal:  J Med Eng       Date:  2013-03-24
  3 in total

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