Generation of a cohort of whole-torso cardiac models for assessing the utility of a novel computed shock vector efficiency metric for ICD optimisation.


Journal

Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250

Informations de publication

Date de publication:
09 2019
Historique:
received: 30 04 2019
revised: 22 07 2019
accepted: 22 07 2019
pubmed: 29 7 2019
medline: 10 9 2020
entrez: 29 7 2019
Statut: ppublish

Résumé

Implanted cardiac defibrillators (ICDs) seek to automatically detect and terminate potentially lethal ventricular arrhythmias by applying strong internal electric shocks across the heart. However, the optimisation of the specific electrode design and configurations represents an intensive area of research in the pursuit of reduced shock strengths and fewer device complications and risks. Computational whole-torso simulations play an important role in this endeavour, although knowing which specific metric should be used to assess configuration efficacy and assessing the impact of different patient anatomies and pathologies, and the corresponding effect this may have on different metrics has not been investigated. We constructed a cohort of CT-derived high-resolution whole torso-cardiac computational models, including variants of cardiomyopathies and patients with differing torso dimensions. Simulations of electric shock application between electrode configurations corresponding to transveneous (TV-ICD) and subcutaneous (S-ICD) ICDs were modelled and conventional metrics such as defibrillation threshold (DFT) and impedance computed. In addition, we computed a novel metric termed the shock vector efficiency (η), which quantifies the fraction of electrical energy dissipated in the heart relative to the rest of the torso. Across the cohort, S-ICD configurations showed higher DFTs and impedances than TV-ICDs, as expected, although little consistent difference was seen between healthy and cardiomyopathy variants. η was consistently <2% for S-ICD configurations, becoming as high as 13% for TV-ICD setups. Simulations also suggested that a total torso height of approximately 20 cm is required for convergence in η. Overall, η was seen to be approximately negatively correlated with both DFT and impedance. However, important scenarios were identified in which certain values of DFT (or impedance) were associated with a range of η values, and vice-versa, highlighting the heterogeneity introduced by the different torsos and pathologies modelled. In conclusion, the shock vector efficiency represents a useful additional metric to be considered alongside DFT and impedance in the optimisation of ICD electrode configurations, particularly in the context of differing torso anatomies and cardiac pathologies, which can induce significant heterogeneity in conventional metrics of ICD efficacy.

Identifiants

pubmed: 31352217
pii: S0010-4825(19)30245-8
doi: 10.1016/j.compbiomed.2019.103368
pmc: PMC6873640
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

103368

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N011007/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : WT 203148/Z/16/Z
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Auteurs

Anne-Marie Plancke (AM)

Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Adam Connolly (A)

Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Philip M Gemmell (PM)

Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Aurel Neic (A)

Institute of Biophysics, Medical University of Graz, Austria.

Luke C McSpadden (LC)

Abbott, Sylmar, CA, USA.

John Whitaker (J)

Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Department of Cardiology, Guy's and St Thomas' Hospitals, London, UK.

Mark O'Neill (M)

Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Department of Cardiology, Guy's and St Thomas' Hospitals, London, UK.

Christopher A Rinaldi (CA)

Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Department of Cardiology, Guy's and St Thomas' Hospitals, London, UK.

Ronak Rajani (R)

Cardiovascular Imaging Department, St Thomas' Hospital, London, UK.

Steven A Niederer (SA)

Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.

Gernot Plank (G)

Institute of Biophysics, Medical University of Graz, Austria.

Martin J Bishop (MJ)

Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK. Electronic address: martin.bishop@kcl.ac.uk.

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