Biventricular defibrillation with sequential shocks using patient-derived computational models

• Main Authors: Mocanu, D., Kettenbach, J., Sweeney, M.O., Kikinis, R., KenKnight, B.H., Eisenberg, S.R.
• Format: Conference Proceeding
• Language: English
• Subjects: Cardiology; Computational modeling; Computed tomography; Defibrillation; Distributed computing; Electric shock; Electrodes; Finite volume methods; Image segmentation; Static VAr compensators
• ISSN: 1094-687X; 1558-4615
• DOI: 10.1109/IEMBS.2002.1106472

Standard transvenous defibrillation is performed with implantable cardioverter defibrillators (ICD) using a dual-current pathway. The defibrillation energy is delivered from the right ventricle (RV) electrode to the superior vena cava (SVC) electrode and the ICD metallic housing. Clinical studies of biventricular defibrillation, which uses an additional electrode, placed on the left ventricular (LV) free wall, in conjunction with sequential shocks, have reported a 50% reduction in defibrillation threshold (DFT) energy. The goal of our study is to use computational methods to examine the biventricular defibrillation fields together with their corresponding DFTs, and to compare to standard defibrillation. Thoracic models derived from 5 patients were used in this study. The computational models were created from segmented CT images. The electric field distribution during defibrillation was computed using the finite volume method. The critical mass hypothesis was used to define a successful shock and to calculate the DFT. Our simulations show that the biventricular lead system reduces the DFT by 30% in comparison to standard configuration in 3 of the models and increases DFT up to 12% in the remaining 2. These results are consistent with clinical reports and suggest that patient-specific computational models may be able to identify those patients who could benefit from biventricular defibrillation.