ArticleThe Journal of physiology2013
Placement of implantable cardioverter-defibrillators in paediatric and congenital heart defect patients: a pipeline for model generation and simulation prediction of optimal configurations.
Article in The Journal of physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Successful Right Sided Subcutaneous Implantable Cardioverter-Defibrillator Implantation in Situs Inversus Dextrocardia: A Case Report and Literature Review.Clinical case reports · 2025Article
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- Additional coils mitigate elevated defibrillation threshold in right-sided implantable cardioverter defibrillator generator placement: a simulation study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023Article
- Bidomain modeling of electrical and mechanical properties of cardiac tissue.Biophysics reviews · 2021Review
- Model Systems for Addressing Mechanism of Arrhythmogenesis in Cardiac Repair.Current cardiology reports · 2021Review
- Parameter variations in personalized electrophysiological models of human heart ventricles.PloS one · 2021Article
- Automated Localization of Focal Ventricular Tachycardia From Simulated Implanted Device Electrograms: A Combined Physics-AI Approach.Frontiers in physiology · 2021Article
- Cardiac resynchronization and implantable defibrillators in adults with congenital heart disease.Heart failure reviews · 2020Review
- Validating defibrillation simulation in a human-shaped phantom.Heart rhythm · 2020Article
- Generation of a cohort of whole-torso cardiac models for assessing the utility of a novel computed shock vector efficiency metric for ICD optimisation.Computers in biology and medicine · 2019Article
- Computational models in cardiology.Nature reviews. Cardiology · 2019Review
- Measuring defibrillator surface potentials: The validation of a predictive defibrillation computer model.Computers in biology and medicine · 2018Article
- Personalized Imaging and Modeling Strategies for Arrhythmia Prevention and Therapy.Current opinion in biomedical engineering · 2018Article
- Bidomain Predictions of Virtual Electrode-Induced Make and Break Excitations around Blood Vessels.Frontiers in bioengineering and biotechnology · 2017Article
- Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention.Annals of biomedical engineering · 2016Article
- Implantable cardioverter-defibrillators in congenital heart disease.Herzschrittmachertherapie & Elektrophysiologie · 2016Review
- Pacing and Defibrillators in Complex Congenital Heart Disease.Arrhythmia & electrophysiology review · 2016Article
- How computer simulations of the human heart can improve anti-arrhythmia therapy.The Journal of physiology · 2016Review
- Computational modeling of cardiac optogenetics: Methodology overview & review of findings from simulations.Computers in biology and medicine · 2015Review
- A New MRI-Based Model of Heart Function with Coupled Hemodynamics and Application to Normal and Diseased Canine Left Ventricles.Frontiers in bioengineering and biotechnology · 2015Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
There is currently no reliable way of predicting the optimal implantable cardioverter-defibrillator (ICD) placement in paediatric and congenital heart defect (CHD) patients. This study aimed to: (1) develop a new image processing pipeline for constructing patient-specific heart-torso models from clinical magnetic resonance images (MRIs); (2) use the pipeline to determine the optimal ICD configuration in a paediatric tricuspid valve atresia patient; (3) establish whether the widely used criterion of shock-induced extracellular potential (Φe) gradients ≥5 V cm(-1) in ≥95% of ventricular volume predicts defibrillation success. A biophysically detailed heart-torso model was generated from patient MRIs. Because transvenous access was impossible, three subcutaneous and three epicardial lead placement sites were identified along with five ICD scan locations. Ventricular fibrillation was induced, and defibrillation shocks were applied from 11 ICD configurations to determine defibrillation thresholds (DFTs). Two configurations with epicardial leads resulted in the lowest DFTs overall and were thus considered optimal. Three configurations shared the lowest DFT among subcutaneous lead ICDs. The Φe gradient criterion was an inadequate predictor of defibrillation success, as defibrillation failed in numerous instances even when 100% of the myocardium experienced such gradients. In conclusion, we have developed a new image processing pipeline and applied it to a CHD patient to construct the first active heart-torso model from clinical MRIs.
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