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Computed Tomography-based evaluation of porcine cardiac dimensions to assist in pre-study planning and optimized model selection for pre-clinical research

The pig (Sus Scrofa Domestica) is an accepted model for preclinical evaluation of prosthetic heart valves and trans-catheter implantation techniques. Understanding porcine cardiac dimensions through three-dimensional computed tomography (CT), increases preclinical study success, leading to higher co...

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Autores principales: Lipiski, Miriam, Eberhard, Matthias, Fleischmann, Thea, Halvachizadeh, Sascha, Kolb, Beate, Maisano, Francesco, Sauer, Mareike, Falk, Volkmar, Emmert, Maximilian Y., Alkadhi, Hatem, Cesarovic, Nikola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138799/
https://www.ncbi.nlm.nih.gov/pubmed/32265478
http://dx.doi.org/10.1038/s41598-020-63044-1
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author Lipiski, Miriam
Eberhard, Matthias
Fleischmann, Thea
Halvachizadeh, Sascha
Kolb, Beate
Maisano, Francesco
Sauer, Mareike
Falk, Volkmar
Emmert, Maximilian Y.
Alkadhi, Hatem
Cesarovic, Nikola
author_facet Lipiski, Miriam
Eberhard, Matthias
Fleischmann, Thea
Halvachizadeh, Sascha
Kolb, Beate
Maisano, Francesco
Sauer, Mareike
Falk, Volkmar
Emmert, Maximilian Y.
Alkadhi, Hatem
Cesarovic, Nikola
author_sort Lipiski, Miriam
collection PubMed
description The pig (Sus Scrofa Domestica) is an accepted model for preclinical evaluation of prosthetic heart valves and trans-catheter implantation techniques. Understanding porcine cardiac dimensions through three-dimensional computed tomography (CT), increases preclinical study success, leading to higher cost efficiency and to the observance of the obligation to the 3 R principles. Cardiac CT images of twenty-four Swiss large white pigs were segmented; aortic root, mitral valve, pulmonary trunk, tricuspid valve, as well as the aorto-mitral angle and left atrial height were analyzed. Correlation coefficient (r) was calculated in relation to body weight. In Swiss large white pigs, valvular dimensions, length of the pulmonary artery and ascending aorta as well as left atrial height correlate with body weight. Coronary ostia heights and aorto-mitral angle size can be neglected in animal size selection; no changes were found for either of the two parameters with increasing body weight.
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spelling pubmed-71387992020-04-11 Computed Tomography-based evaluation of porcine cardiac dimensions to assist in pre-study planning and optimized model selection for pre-clinical research Lipiski, Miriam Eberhard, Matthias Fleischmann, Thea Halvachizadeh, Sascha Kolb, Beate Maisano, Francesco Sauer, Mareike Falk, Volkmar Emmert, Maximilian Y. Alkadhi, Hatem Cesarovic, Nikola Sci Rep Article The pig (Sus Scrofa Domestica) is an accepted model for preclinical evaluation of prosthetic heart valves and trans-catheter implantation techniques. Understanding porcine cardiac dimensions through three-dimensional computed tomography (CT), increases preclinical study success, leading to higher cost efficiency and to the observance of the obligation to the 3 R principles. Cardiac CT images of twenty-four Swiss large white pigs were segmented; aortic root, mitral valve, pulmonary trunk, tricuspid valve, as well as the aorto-mitral angle and left atrial height were analyzed. Correlation coefficient (r) was calculated in relation to body weight. In Swiss large white pigs, valvular dimensions, length of the pulmonary artery and ascending aorta as well as left atrial height correlate with body weight. Coronary ostia heights and aorto-mitral angle size can be neglected in animal size selection; no changes were found for either of the two parameters with increasing body weight. Nature Publishing Group UK 2020-04-07 /pmc/articles/PMC7138799/ /pubmed/32265478 http://dx.doi.org/10.1038/s41598-020-63044-1 Text en © The Author(s) 2020 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
Lipiski, Miriam
Eberhard, Matthias
Fleischmann, Thea
Halvachizadeh, Sascha
Kolb, Beate
Maisano, Francesco
Sauer, Mareike
Falk, Volkmar
Emmert, Maximilian Y.
Alkadhi, Hatem
Cesarovic, Nikola
Computed Tomography-based evaluation of porcine cardiac dimensions to assist in pre-study planning and optimized model selection for pre-clinical research
title Computed Tomography-based evaluation of porcine cardiac dimensions to assist in pre-study planning and optimized model selection for pre-clinical research
title_full Computed Tomography-based evaluation of porcine cardiac dimensions to assist in pre-study planning and optimized model selection for pre-clinical research
title_fullStr Computed Tomography-based evaluation of porcine cardiac dimensions to assist in pre-study planning and optimized model selection for pre-clinical research
title_full_unstemmed Computed Tomography-based evaluation of porcine cardiac dimensions to assist in pre-study planning and optimized model selection for pre-clinical research
title_short Computed Tomography-based evaluation of porcine cardiac dimensions to assist in pre-study planning and optimized model selection for pre-clinical research
title_sort computed tomography-based evaluation of porcine cardiac dimensions to assist in pre-study planning and optimized model selection for pre-clinical research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138799/
https://www.ncbi.nlm.nih.gov/pubmed/32265478
http://dx.doi.org/10.1038/s41598-020-63044-1
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