Personalized Modeling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct Patients

Caroline Mendonca Costa; Aurel Neic; Gernot Plank; Eric Kerfoot; Bradley Porter; Benjamin Sieniewicz; Justin Gould; Baldeep Sidhu; Zhong Chen; Christopher A. Rinaldi; Martin J. Bishop; Steven A. Niederer

doi:10.22489/CinC.2018.112

Personalized Modeling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct Patients

Caroline Mendonca Costa^*, Aurel Neic, Gernot Plank, Eric Kerfoot, Bradley Porter, Benjamin Sieniewicz, Justin Gould, Baldeep Sidhu, Zhong Chen, Christopher A. Rinaldi, Martin J. Bishop, Steven A. Niederer

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Cardiac Resynchronization Therapy (CRT) is associated with increased arrhythmogenic risk in infarct patients when pacing adjacent to a scar. We investigated the role of pacing location relative to scar on dispersion of repolarization, as a surrogate for arrhythmogenic risk. For this task, we developed a personalization and simulation pipeline that allows fast development of personalized computational models and simulation of cardiac electrophysiology. Twenty four models of left ventricular anatomy and scar morphology were built and repolarization sequences were simulated. Simulation results show that CRT increases dispersion of repolarization around a scar when pacing adjacent to it, thus, providing a mechanistic explanation of increased arrhythmogenic risk in infarct patients undergoing CRT.

Original language	English
Title of host publication	Computing in Cardiology Conference, CinC 2018
Publisher	IEEE Computer Society
Volume	2018-September
ISBN (Electronic)	9781728109589
DOIs	https://doi.org/10.22489/CinC.2018.112
Publication status	Published - 1 Sept 2018
Event	45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Netherlands Duration: 23 Sept 2018 → 26 Sept 2018

Conference

Conference	45th Computing in Cardiology Conference, CinC 2018
Country/Territory	Netherlands
City	Maastricht
Period	23/09/2018 → 26/09/2018

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10.22489/CinC.2018.112

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Costa, C. M., Neic, A., Plank, G., Kerfoot, E., Porter, B., Sieniewicz, B., Gould, J., Sidhu, B., Chen, Z., Rinaldi, C. A., Bishop, M. J., & Niederer, S. A. (2018). Personalized Modeling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct Patients. In Computing in Cardiology Conference, CinC 2018 (Vol. 2018-September). Article 8744030 IEEE Computer Society. https://doi.org/10.22489/CinC.2018.112

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title = "Personalized Modeling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct Patients",

abstract = "Cardiac Resynchronization Therapy (CRT) is associated with increased arrhythmogenic risk in infarct patients when pacing adjacent to a scar. We investigated the role of pacing location relative to scar on dispersion of repolarization, as a surrogate for arrhythmogenic risk. For this task, we developed a personalization and simulation pipeline that allows fast development of personalized computational models and simulation of cardiac electrophysiology. Twenty four models of left ventricular anatomy and scar morphology were built and repolarization sequences were simulated. Simulation results show that CRT increases dispersion of repolarization around a scar when pacing adjacent to it, thus, providing a mechanistic explanation of increased arrhythmogenic risk in infarct patients undergoing CRT.",

author = "Costa, {Caroline Mendonca} and Aurel Neic and Gernot Plank and Eric Kerfoot and Bradley Porter and Benjamin Sieniewicz and Justin Gould and Baldeep Sidhu and Zhong Chen and Rinaldi, {Christopher A.} and Bishop, {Martin J.} and Niederer, {Steven A.}",

year = "2018",

month = sep,

day = "1",

doi = "10.22489/CinC.2018.112",

language = "English",

volume = "2018-September",

booktitle = "Computing in Cardiology Conference, CinC 2018",

publisher = "IEEE Computer Society",

note = "45th Computing in Cardiology Conference, CinC 2018 ; Conference date: 23-09-2018 Through 26-09-2018",

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Costa, CM, Neic, A, Plank, G, Kerfoot, E , Porter, B , Sieniewicz, B , Gould, J , Sidhu, B , Chen, Z , Rinaldi, CA , Bishop, MJ & Niederer, SA 2018, Personalized Modeling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct Patients. in Computing in Cardiology Conference, CinC 2018. vol. 2018-September, 8744030, IEEE Computer Society, 45th Computing in Cardiology Conference, CinC 2018, Maastricht, Netherlands, 23/09/2018. https://doi.org/10.22489/CinC.2018.112

Personalized Modeling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct Patients. / Costa, Caroline Mendonca; Neic, Aurel; Plank, Gernot et al.
Computing in Cardiology Conference, CinC 2018. Vol. 2018-September IEEE Computer Society, 2018. 8744030.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

TY - CHAP

T1 - Personalized Modeling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct Patients

AU - Costa, Caroline Mendonca

AU - Neic, Aurel

AU - Plank, Gernot

AU - Kerfoot, Eric

AU - Porter, Bradley

AU - Sieniewicz, Benjamin

AU - Gould, Justin

AU - Sidhu, Baldeep

AU - Chen, Zhong

AU - Rinaldi, Christopher A.

AU - Bishop, Martin J.

AU - Niederer, Steven A.

PY - 2018/9/1

Y1 - 2018/9/1

N2 - Cardiac Resynchronization Therapy (CRT) is associated with increased arrhythmogenic risk in infarct patients when pacing adjacent to a scar. We investigated the role of pacing location relative to scar on dispersion of repolarization, as a surrogate for arrhythmogenic risk. For this task, we developed a personalization and simulation pipeline that allows fast development of personalized computational models and simulation of cardiac electrophysiology. Twenty four models of left ventricular anatomy and scar morphology were built and repolarization sequences were simulated. Simulation results show that CRT increases dispersion of repolarization around a scar when pacing adjacent to it, thus, providing a mechanistic explanation of increased arrhythmogenic risk in infarct patients undergoing CRT.

AB - Cardiac Resynchronization Therapy (CRT) is associated with increased arrhythmogenic risk in infarct patients when pacing adjacent to a scar. We investigated the role of pacing location relative to scar on dispersion of repolarization, as a surrogate for arrhythmogenic risk. For this task, we developed a personalization and simulation pipeline that allows fast development of personalized computational models and simulation of cardiac electrophysiology. Twenty four models of left ventricular anatomy and scar morphology were built and repolarization sequences were simulated. Simulation results show that CRT increases dispersion of repolarization around a scar when pacing adjacent to it, thus, providing a mechanistic explanation of increased arrhythmogenic risk in infarct patients undergoing CRT.

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U2 - 10.22489/CinC.2018.112

DO - 10.22489/CinC.2018.112

M3 - Conference paper

AN - SCOPUS:85068803294

VL - 2018-September

BT - Computing in Cardiology Conference, CinC 2018

PB - IEEE Computer Society

T2 - 45th Computing in Cardiology Conference, CinC 2018

Y2 - 23 September 2018 through 26 September 2018

ER -

Personalized Modeling Pipeline for Cardiac Electrophysiology Simulations of Cardiac Resynchronization Therapy in Infarct Patients

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