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High resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling
Cardiac arrhythmias and conduction disturbances are accompanied by structural remodelling of the specialised cardiomyocytes known collectively as the cardiac conduction system. Here, using contrast enhanced micro-computed tomography, we present, in attitudinally appropriate fashion, the first 3-dime...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543124/ https://www.ncbi.nlm.nih.gov/pubmed/28775383 http://dx.doi.org/10.1038/s41598-017-07694-8 |
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author | Stephenson, Robert S. Atkinson, Andrew Kottas, Petros Perde, Filip Jafarzadeh, Fatemeh Bateman, Mike Iaizzo, Paul A. Zhao, Jichao Zhang, Henggui Anderson, Robert H. Jarvis, Jonathan C. Dobrzynski, Halina |
author_facet | Stephenson, Robert S. Atkinson, Andrew Kottas, Petros Perde, Filip Jafarzadeh, Fatemeh Bateman, Mike Iaizzo, Paul A. Zhao, Jichao Zhang, Henggui Anderson, Robert H. Jarvis, Jonathan C. Dobrzynski, Halina |
author_sort | Stephenson, Robert S. |
collection | PubMed |
description | Cardiac arrhythmias and conduction disturbances are accompanied by structural remodelling of the specialised cardiomyocytes known collectively as the cardiac conduction system. Here, using contrast enhanced micro-computed tomography, we present, in attitudinally appropriate fashion, the first 3-dimensional representations of the cardiac conduction system within the intact human heart. We show that cardiomyocyte orientation can be extracted from these datasets at spatial resolutions approaching the single cell. These data show that commonly accepted anatomical representations are oversimplified. We have incorporated the high-resolution anatomical data into mathematical simulations of cardiac electrical depolarisation. The data presented should have multidisciplinary impact. Since the rate of depolarisation is dictated by cardiac microstructure, and the precise orientation of the cardiomyocytes, our data should improve the fidelity of mathematical models. By showing the precise 3-dimensional relationships between the cardiac conduction system and surrounding structures, we provide new insights relevant to valvar replacement surgery and ablation therapies. We also offer a practical method for investigation of remodelling in disease, and thus, virtual pathology and archiving. Such data presented as 3D images or 3D printed models, will inform discussions between medical teams and their patients, and aid the education of medical and surgical trainees. |
format | Online Article Text |
id | pubmed-5543124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55431242017-08-07 High resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling Stephenson, Robert S. Atkinson, Andrew Kottas, Petros Perde, Filip Jafarzadeh, Fatemeh Bateman, Mike Iaizzo, Paul A. Zhao, Jichao Zhang, Henggui Anderson, Robert H. Jarvis, Jonathan C. Dobrzynski, Halina Sci Rep Article Cardiac arrhythmias and conduction disturbances are accompanied by structural remodelling of the specialised cardiomyocytes known collectively as the cardiac conduction system. Here, using contrast enhanced micro-computed tomography, we present, in attitudinally appropriate fashion, the first 3-dimensional representations of the cardiac conduction system within the intact human heart. We show that cardiomyocyte orientation can be extracted from these datasets at spatial resolutions approaching the single cell. These data show that commonly accepted anatomical representations are oversimplified. We have incorporated the high-resolution anatomical data into mathematical simulations of cardiac electrical depolarisation. The data presented should have multidisciplinary impact. Since the rate of depolarisation is dictated by cardiac microstructure, and the precise orientation of the cardiomyocytes, our data should improve the fidelity of mathematical models. By showing the precise 3-dimensional relationships between the cardiac conduction system and surrounding structures, we provide new insights relevant to valvar replacement surgery and ablation therapies. We also offer a practical method for investigation of remodelling in disease, and thus, virtual pathology and archiving. Such data presented as 3D images or 3D printed models, will inform discussions between medical teams and their patients, and aid the education of medical and surgical trainees. Nature Publishing Group UK 2017-08-03 /pmc/articles/PMC5543124/ /pubmed/28775383 http://dx.doi.org/10.1038/s41598-017-07694-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Stephenson, Robert S. Atkinson, Andrew Kottas, Petros Perde, Filip Jafarzadeh, Fatemeh Bateman, Mike Iaizzo, Paul A. Zhao, Jichao Zhang, Henggui Anderson, Robert H. Jarvis, Jonathan C. Dobrzynski, Halina High resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling |
title | High resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling |
title_full | High resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling |
title_fullStr | High resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling |
title_full_unstemmed | High resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling |
title_short | High resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling |
title_sort | high resolution 3-dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543124/ https://www.ncbi.nlm.nih.gov/pubmed/28775383 http://dx.doi.org/10.1038/s41598-017-07694-8 |
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