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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...

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Autores principales: Corrado, Cesare, Williams, Steven, Karim, Rashed, Plank, Gernot, O’Neill, Mark, Niederer, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
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.
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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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