Computer Simulation of Clinical Electrophysiological Study

Zhu, Xin; Wei, Daming; Okazaki, Osamu

doi:10.1111/j.1540-8159.2012.03379.x

Cited by 9 publications

(13 citation statements)

References 16 publications

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“…Several additional studies are noteworthy. Zhu et al [138] showed that models of the heart can be used to carry out non-invasive localization of accessory pathways in patients with Wolff-Parkinson-White syndrome. Ng et al [87] demonstrated the feasibility of using simulations to predict VT circuits.…”

Section: Clinical Applications Of Simulation-based Arrhythmia Researchmentioning

confidence: 99%

Cardiac Arrhythmias: Mechanistic Knowledge and Innovation from Computer Models

Trayanova

Boyle

2015

MS&A

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Computational simulation is increasingly recognized as an integral aspect of modern cardiovascular research. Realistic and biophysically detailed models of the cardio-circulatory system can help interpret complex experimental observations, dissect underlying mechanisms, and explain emerging organ-scale phenomena resulting from subtle changes at the tissue, cellular, and/or sub-cellular scales. This chapter provides an overview of recent advances in the simulation of cardiac electrical behavior, focusing specifically on detailed models of the initiation, perpetuation, and termination of ventricular arrhythmias, including fibrillation. The development and validation of such models has opened several noteworthy avenues of research, including close scrutiny of arrhythmia dynamics in healthy and diseased hearts, dissection of arrhythmogenic and cardioprotective properties of specialized cardiac tissue regions such as the Purkinje system, and exploration of emerging paradigms for anti-arrhythmia treatment, such as optogenetics. Excitingly, the clinical community is currently taking the first steps towards using patient-specific ventricular models to stratify arrhythmia risk, personalize treatment planning, and optimize device placement for difficult or unusual procedures.

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Section: Clinical Applications Of Simulation-based Arrhythmia Researchmentioning

confidence: 99%

Cardiac Arrhythmias: Mechanistic Knowledge and Innovation from Computer Models

Trayanova

Boyle

2015

MS&A

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“…Patient-specific electrophysiology models have also been employed to predict noninvasively the target for catheter ablation, a procedure based on the delivery of heat or cold to destroy the ability of cardiac tissue to generate and conduct electrical signals locally. Zhu and colleagues demonstrated that heart models could be used to localize noninvasively accessory pathways in patients with Wolff–Parkinson–White syndrome 128 . In a retrospective analysis of 13 patients, Ashikaga and colleagues demonstrated that the prediction of ablation targets for infarct-related ventricular tachycardia could also result in lesions that are much smaller than those executed in the clinic 129 .…”

Section: Modelling the Heart Of Patientsmentioning

confidence: 99%

Computational models in cardiology

2018

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The treatment of individual patients in cardiology practice increasingly relies on advanced imaging, genetic screening and devices. As the amount of imaging and other diagnostic data increases, paralleled by the greater capacity to personalize treatment, the difficulty of using the full array of measurements of a patient to determine an optimal treatment seems also to be paradoxically increasing. Computational models are progressively addressing this issue by providing a common framework for integrating multiple data sets from individual patients. These models, which are based on physiology and physics rather than on population statistics, enable computational simulations to reveal diagnostic information that would have otherwise remained concealed and to predict treatment outcomes for individual patients. The inherent need for patient-specific models in cardiology is clear and is driving the rapid development of tools and techniques for creating personalized methods to guide pharmaceutical therapy, deployment of devices and surgical interventions.

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“…Several of them are noteworthy. Zhu, Wei, and Okazaki () showed that models of the heart can be used to carry out noninvasive localization of accessory pathways in patients with Wolff‐Parkinson‐White syndrome. Ng et al () provided the initial exploration of the feasibility of using simulations to predict VT circuits.…”

Section: Application Of Virtual‐heart Models To Vt Ablation In Post‐imentioning

confidence: 99%

How personalized heart modeling can help treatment of lethal arrhythmias: A focus on ventricular tachycardia ablation strategies in post‐infarction patients

Trayanova

Doshi

Prakosa

2020

WIREs Mechanisms of Disease

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Precision Cardiology is a targeted strategy for cardiovascular disease prevention and treatment that accounts for individual variability. Computational heart modeling is one of the novel approaches that have been developed under the umbrella of Precision Cardiology. Personalized computational modeling of patient hearts has made strides in the development of models that incorporate the individual geometry and structure of the heart as well as other patient‐specific information. Of these developments, one of the potentially most impactful is the research aimed at noninvasively predicting the targets of ablation of lethal arrhythmia, ventricular tachycardia (VT), using patient‐specific models. The approach has been successfully applied to patients with ischemic cardiomyopathy in proof‐of‐concept studies. The goal of this paper is to review the strategies for computational VT ablation guidance in ischemic cardiomyopathy patients, from model developments to the intricacies of the actual clinical application. To provide context in describing the road these computational modeling applications have undertaken, we first review the state of the art in VT ablation in the clinic, emphasizing the benefits that personalized computational prediction of ablation targets could bring to the clinical electrophysiology practice. This article is characterized under: Analytical and Computational Methods > Computational Methods Models of Systems Properties and Processes > Organ, Tissue, and Physiological Models Translational, Genomic, and Systems Medicine > Translational Medicine

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Computer Simulation of Clinical Electrophysiological Study

Abstract: This study demonstrates an application of whole-heart modeling and computer simulation to clinical EPS.

Cited by 9 publications

References 16 publications

Cardiac Arrhythmias: Mechanistic Knowledge and Innovation from Computer Models

Cardiac Arrhythmias: Mechanistic Knowledge and Innovation from Computer Models

Computational models in cardiology

How personalized heart modeling can help treatment of lethal arrhythmias: A focus on ventricular tachycardia ablation strategies in post‐infarction patients

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