Cargando…
BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms
An abdominal aortic aneurysm (AAA) is a permanent and irreversible dilation of the lower region of the aorta. It is a symptomless condition that, if left untreated, can expand until rupture. Despite ongoing efforts, an efficient tool for accurate estimation of AAA rupture risk is still not available...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498605/ https://www.ncbi.nlm.nih.gov/pubmed/28680081 http://dx.doi.org/10.1038/s41598-017-04699-1 |
_version_ | 1783248328246427648 |
---|---|
author | Joldes, Grand Roman Miller, Karol Wittek, Adam Forsythe, Rachael O. Newby, David E. Doyle, Barry J. |
author_facet | Joldes, Grand Roman Miller, Karol Wittek, Adam Forsythe, Rachael O. Newby, David E. Doyle, Barry J. |
author_sort | Joldes, Grand Roman |
collection | PubMed |
description | An abdominal aortic aneurysm (AAA) is a permanent and irreversible dilation of the lower region of the aorta. It is a symptomless condition that, if left untreated, can expand until rupture. Despite ongoing efforts, an efficient tool for accurate estimation of AAA rupture risk is still not available. Furthermore, a lack of standardisation across current approaches and specific obstacles within computational workflows limit the translation of existing methods to the clinic. This paper presents BioPARR (Biomechanics based Prediction of Aneurysm Rupture Risk), a software system to facilitate the analysis of AAA using a finite element analysis based approach. Except semi-automatic segmentation of the AAA and intraluminal thrombus (ILT) from medical images, the entire analysis is performed automatically. The system is modular and easily expandable, allows the extraction of information from images of different modalities (e.g. CT and MRI) and the simulation of different modelling scenarios (e.g. with/without thrombus). The software uses contemporary methods that eliminate the need for patient-specific material properties, overcoming perhaps the key limitation to all previous patient-specific analysis methods. The software system is robust, free, and will allow researchers to perform comparative evaluation of AAA using a standardised approach. We report preliminary data from 48 cases. |
format | Online Article Text |
id | pubmed-5498605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54986052017-07-10 BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms Joldes, Grand Roman Miller, Karol Wittek, Adam Forsythe, Rachael O. Newby, David E. Doyle, Barry J. Sci Rep Article An abdominal aortic aneurysm (AAA) is a permanent and irreversible dilation of the lower region of the aorta. It is a symptomless condition that, if left untreated, can expand until rupture. Despite ongoing efforts, an efficient tool for accurate estimation of AAA rupture risk is still not available. Furthermore, a lack of standardisation across current approaches and specific obstacles within computational workflows limit the translation of existing methods to the clinic. This paper presents BioPARR (Biomechanics based Prediction of Aneurysm Rupture Risk), a software system to facilitate the analysis of AAA using a finite element analysis based approach. Except semi-automatic segmentation of the AAA and intraluminal thrombus (ILT) from medical images, the entire analysis is performed automatically. The system is modular and easily expandable, allows the extraction of information from images of different modalities (e.g. CT and MRI) and the simulation of different modelling scenarios (e.g. with/without thrombus). The software uses contemporary methods that eliminate the need for patient-specific material properties, overcoming perhaps the key limitation to all previous patient-specific analysis methods. The software system is robust, free, and will allow researchers to perform comparative evaluation of AAA using a standardised approach. We report preliminary data from 48 cases. Nature Publishing Group UK 2017-07-05 /pmc/articles/PMC5498605/ /pubmed/28680081 http://dx.doi.org/10.1038/s41598-017-04699-1 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 Joldes, Grand Roman Miller, Karol Wittek, Adam Forsythe, Rachael O. Newby, David E. Doyle, Barry J. BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms |
title | BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms |
title_full | BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms |
title_fullStr | BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms |
title_full_unstemmed | BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms |
title_short | BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms |
title_sort | bioparr: a software system for estimating the rupture potential index for abdominal aortic aneurysms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498605/ https://www.ncbi.nlm.nih.gov/pubmed/28680081 http://dx.doi.org/10.1038/s41598-017-04699-1 |
work_keys_str_mv | AT joldesgrandroman bioparrasoftwaresystemforestimatingtherupturepotentialindexforabdominalaorticaneurysms AT millerkarol bioparrasoftwaresystemforestimatingtherupturepotentialindexforabdominalaorticaneurysms AT wittekadam bioparrasoftwaresystemforestimatingtherupturepotentialindexforabdominalaorticaneurysms AT forsytherachaelo bioparrasoftwaresystemforestimatingtherupturepotentialindexforabdominalaorticaneurysms AT newbydavide bioparrasoftwaresystemforestimatingtherupturepotentialindexforabdominalaorticaneurysms AT doylebarryj bioparrasoftwaresystemforestimatingtherupturepotentialindexforabdominalaorticaneurysms |