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A work flow to build and validate patient specific left atrium electrophysiology models from catheter measurements
Biophysical models of the atrium provide a physically constrained framework for describing the current state of an atrium and allow predictions of how that atrium will respond to therapy. We propose a work flow to simulate patient specific electrophysiological heterogeneity from clinical data and va...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998385/ https://www.ncbi.nlm.nih.gov/pubmed/29753180 http://dx.doi.org/10.1016/j.media.2018.04.005 |
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author | Corrado, Cesare Williams, Steven Karim, Rashed Plank, Gernot O’Neill, Mark Niederer, Steven |
author_facet | Corrado, Cesare Williams, Steven Karim, Rashed Plank, Gernot O’Neill, Mark Niederer, Steven |
author_sort | Corrado, Cesare |
collection | PubMed |
description | Biophysical models of the atrium provide a physically constrained framework for describing the current state of an atrium and allow predictions of how that atrium will respond to therapy. We propose a work flow to simulate patient specific electrophysiological heterogeneity from clinical data and validate the resulting biophysical models. In 7 patients, we recorded the atrial anatomy with an electroanatomical mapping system (St Jude Velocity); we then applied an S1–S2 electrical stimulation protocol from the coronary sinus (CS) and the high right atrium (HRA) whilst recording the activation patterns using a PentaRay catheter with 10 bipolar electrodes at 12 ± 2 sites across the atrium. Using only the activation times measured with a PentaRay catheter and caused by a stimulus applied in the CS with a remote catheter we fitted the four parameters for a modified Mitchell–Schaeffer model and the tissue conductivity to the recorded local conduction velocity restitution curve and estimated local effective refractory period. Model parameters were then interpolated across each atrium. The fitted model recapitulated the S1–S2 activation times for CS pacing giving a correlation ranging between 0.81 and 0.98. The model was validated by comparing simulated activations times with the independently recorded HRA pacing S1–S2 activation times, giving a correlation ranging between 0.65 and 0.96. The resulting work flow provides the first validated cohort of models that capture clinically measured patient specific electrophysiological heterogeneity. |
format | Online Article Text |
id | pubmed-5998385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59983852018-07-01 A work flow to build and validate patient specific left atrium electrophysiology models from catheter measurements Corrado, Cesare Williams, Steven Karim, Rashed Plank, Gernot O’Neill, Mark Niederer, Steven Med Image Anal Article Biophysical models of the atrium provide a physically constrained framework for describing the current state of an atrium and allow predictions of how that atrium will respond to therapy. We propose a work flow to simulate patient specific electrophysiological heterogeneity from clinical data and validate the resulting biophysical models. In 7 patients, we recorded the atrial anatomy with an electroanatomical mapping system (St Jude Velocity); we then applied an S1–S2 electrical stimulation protocol from the coronary sinus (CS) and the high right atrium (HRA) whilst recording the activation patterns using a PentaRay catheter with 10 bipolar electrodes at 12 ± 2 sites across the atrium. Using only the activation times measured with a PentaRay catheter and caused by a stimulus applied in the CS with a remote catheter we fitted the four parameters for a modified Mitchell–Schaeffer model and the tissue conductivity to the recorded local conduction velocity restitution curve and estimated local effective refractory period. Model parameters were then interpolated across each atrium. The fitted model recapitulated the S1–S2 activation times for CS pacing giving a correlation ranging between 0.81 and 0.98. The model was validated by comparing simulated activations times with the independently recorded HRA pacing S1–S2 activation times, giving a correlation ranging between 0.65 and 0.96. The resulting work flow provides the first validated cohort of models that capture clinically measured patient specific electrophysiological heterogeneity. Elsevier 2018-07 /pmc/articles/PMC5998385/ /pubmed/29753180 http://dx.doi.org/10.1016/j.media.2018.04.005 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Corrado, Cesare Williams, Steven Karim, Rashed Plank, Gernot O’Neill, Mark Niederer, Steven A work flow to build and validate patient specific left atrium electrophysiology models from catheter measurements |
title | A work flow to build and validate patient specific left atrium electrophysiology models from catheter measurements |
title_full | A work flow to build and validate patient specific left atrium electrophysiology models from catheter measurements |
title_fullStr | A work flow to build and validate patient specific left atrium electrophysiology models from catheter measurements |
title_full_unstemmed | A work flow to build and validate patient specific left atrium electrophysiology models from catheter measurements |
title_short | A work flow to build and validate patient specific left atrium electrophysiology models from catheter measurements |
title_sort | work flow to build and validate patient specific left atrium electrophysiology models from catheter measurements |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998385/ https://www.ncbi.nlm.nih.gov/pubmed/29753180 http://dx.doi.org/10.1016/j.media.2018.04.005 |
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