BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms

Abstract 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...

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Autores principales:	Grand Roman Joldes, Karol Miller, Adam Wittek, Rachael O. Forsythe, David E. Newby, Barry J. Doyle
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/373e8e82e00048d983950385e336004d
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spelling	oai:doaj.org-article:373e8e82e00048d983950385e336004d2021-12-02T11:52:20ZBioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms10.1038/s41598-017-04699-12045-2322https://doaj.org/article/373e8e82e00048d983950385e336004d2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04699-1https://doaj.org/toc/2045-2322Abstract 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.Grand Roman JoldesKarol MillerAdam WittekRachael O. ForsytheDavid E. NewbyBarry J. DoyleNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-15 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Grand Roman Joldes Karol Miller Adam Wittek Rachael O. Forsythe David E. Newby Barry J. Doyle BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms
description	Abstract 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	article
author	Grand Roman Joldes Karol Miller Adam Wittek Rachael O. Forsythe David E. Newby Barry J. Doyle
author_facet	Grand Roman Joldes Karol Miller Adam Wittek Rachael O. Forsythe David E. Newby Barry J. Doyle
author_sort	Grand Roman Joldes
title	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_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_sort	bioparr: a software system for estimating the rupture potential index for abdominal aortic aneurysms
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/373e8e82e00048d983950385e336004d
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BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms

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