High resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling

Abstract 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 fir...

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Autores principales:	Robert S. Stephenson, Andrew Atkinson, Petros Kottas, Filip Perde, Fatemeh Jafarzadeh, Mike Bateman, Paul A. Iaizzo, Jichao Zhao, Henggui Zhang, Robert H. Anderson, Jonathan C. Jarvis, Halina Dobrzynski
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/454b6b3fdfdf4029880600b6a3c2a724
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spelling	oai:doaj.org-article:454b6b3fdfdf4029880600b6a3c2a7242021-12-02T16:06:05ZHigh resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling10.1038/s41598-017-07694-82045-2322https://doaj.org/article/454b6b3fdfdf4029880600b6a3c2a7242017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07694-8https://doaj.org/toc/2045-2322Abstract 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.Robert S. StephensonAndrew AtkinsonPetros KottasFilip PerdeFatemeh JafarzadehMike BatemanPaul A. IaizzoJichao ZhaoHenggui ZhangRobert H. AndersonJonathan C. JarvisHalina DobrzynskiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-13 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Robert S. Stephenson Andrew Atkinson Petros Kottas Filip Perde Fatemeh Jafarzadeh Mike Bateman Paul A. Iaizzo Jichao Zhao Henggui Zhang Robert H. Anderson Jonathan C. Jarvis Halina Dobrzynski High resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling
description	Abstract 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	article
author	Robert S. Stephenson Andrew Atkinson Petros Kottas Filip Perde Fatemeh Jafarzadeh Mike Bateman Paul A. Iaizzo Jichao Zhao Henggui Zhang Robert H. Anderson Jonathan C. Jarvis Halina Dobrzynski
author_facet	Robert S. Stephenson Andrew Atkinson Petros Kottas Filip Perde Fatemeh Jafarzadeh Mike Bateman Paul A. Iaizzo Jichao Zhao Henggui Zhang Robert H. Anderson Jonathan C. Jarvis Halina Dobrzynski
author_sort	Robert S. Stephenson
title	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_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_sort	high resolution 3-dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/454b6b3fdfdf4029880600b6a3c2a724
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High resolution 3-Dimensional imaging of the human cardiac conduction system from microanatomy to mathematical modeling

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