Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.22489/CinC.2018.112 | 2018 Computing in Cardiology Conference (CinC) |
Keywords | DocType | Volume |
arrhythmogenic risk,cardiac resynchronization therapy,cardiac electrophysiology simulations,personalized modeling pipeline,repolarization sequences,personalized computational models | Conference | 45 |
ISSN | ISBN | Citations |
2325-8861 | 978-1-7281-0924-4 | 0 |
PageRank | References | Authors |
0.34 | 1 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Caroline Mendonça Costa | 1 | 10 | 4.59 |
| A Neic | 2 | 41 | 6.46 |
| G Plank | 3 | 201 | 33.05 |
| Eric Kerfoot | 4 | 9 | 2.97 |
| Bradley Porter | 5 | 0 | 1.35 |
| Benjamin Sieniewicz | 6 | 0 | 0.34 |
| Justin Gould | 7 | 0 | 0.68 |
| Baldeep Sidhu | 8 | 0 | 1.01 |
| Zhong Chen | 9 | 13 | 2.91 |
| Christopher Aldo Rinaldi | 10 | 16 | 8.07 |
| Martin J. Bishop | 11 | 39 | 12.93 |
| Steven Niederer | 12 | 119 | 20.78 |