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A Methodology to Quantify the Geometrical Complexity of the Abdominal Aortic Aneurysm
The abdominal aortic aneurysm (AAA) anatomy influences the technical success of the endovascular aneurysm repair (EVAR), yet very few data regarding the aortic tree angles exist in the literature. This poses great limitations in the numerical analyses of endografts, constraining their design improve...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874586/ https://www.ncbi.nlm.nih.gov/pubmed/31758013 http://dx.doi.org/10.1038/s41598-019-53820-z |
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author | Kyriakou, Faidon Dempster, William Nash, David |
author_facet | Kyriakou, Faidon Dempster, William Nash, David |
author_sort | Kyriakou, Faidon |
collection | PubMed |
description | The abdominal aortic aneurysm (AAA) anatomy influences the technical success of the endovascular aneurysm repair (EVAR), yet very few data regarding the aortic tree angles exist in the literature. This poses great limitations in the numerical analyses of endografts, constraining their design improvement as well as the identification of their operational limitations. In this study, a matrix Φ of 10 angles was constructed for the description of the pathological region and was implemented on a large dataset of anatomies. More specifically, computed tomography angiographies from 258 patients were analysed and 10 aortic angles were calculated per case, able to adequately describe the overall AAA shape. 9 dimensional variables (i.e. diameters and lengths) were also recorded. The median and extreme values of these variables were computed providing a detailed quantification of the geometrical landscape of the AAA. Moreover, statistical analysis showed that the identified angles presented no strong correlation with each other while no lateral or anterior/posterior symmetry of the AAA was identified. These findings suggest that endograft designers are free to construct any extreme case-studies with the values provided in a mix-and-match manner. This strategy can have a powerful effect in EVAR stent graft designing, as well as EVAR planning. |
format | Online Article Text |
id | pubmed-6874586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68745862019-12-04 A Methodology to Quantify the Geometrical Complexity of the Abdominal Aortic Aneurysm Kyriakou, Faidon Dempster, William Nash, David Sci Rep Article The abdominal aortic aneurysm (AAA) anatomy influences the technical success of the endovascular aneurysm repair (EVAR), yet very few data regarding the aortic tree angles exist in the literature. This poses great limitations in the numerical analyses of endografts, constraining their design improvement as well as the identification of their operational limitations. In this study, a matrix Φ of 10 angles was constructed for the description of the pathological region and was implemented on a large dataset of anatomies. More specifically, computed tomography angiographies from 258 patients were analysed and 10 aortic angles were calculated per case, able to adequately describe the overall AAA shape. 9 dimensional variables (i.e. diameters and lengths) were also recorded. The median and extreme values of these variables were computed providing a detailed quantification of the geometrical landscape of the AAA. Moreover, statistical analysis showed that the identified angles presented no strong correlation with each other while no lateral or anterior/posterior symmetry of the AAA was identified. These findings suggest that endograft designers are free to construct any extreme case-studies with the values provided in a mix-and-match manner. This strategy can have a powerful effect in EVAR stent graft designing, as well as EVAR planning. Nature Publishing Group UK 2019-11-22 /pmc/articles/PMC6874586/ /pubmed/31758013 http://dx.doi.org/10.1038/s41598-019-53820-z Text en © The Author(s) 2019 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 Kyriakou, Faidon Dempster, William Nash, David A Methodology to Quantify the Geometrical Complexity of the Abdominal Aortic Aneurysm |
title | A Methodology to Quantify the Geometrical Complexity of the Abdominal Aortic Aneurysm |
title_full | A Methodology to Quantify the Geometrical Complexity of the Abdominal Aortic Aneurysm |
title_fullStr | A Methodology to Quantify the Geometrical Complexity of the Abdominal Aortic Aneurysm |
title_full_unstemmed | A Methodology to Quantify the Geometrical Complexity of the Abdominal Aortic Aneurysm |
title_short | A Methodology to Quantify the Geometrical Complexity of the Abdominal Aortic Aneurysm |
title_sort | methodology to quantify the geometrical complexity of the abdominal aortic aneurysm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874586/ https://www.ncbi.nlm.nih.gov/pubmed/31758013 http://dx.doi.org/10.1038/s41598-019-53820-z |
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