BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms.
BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms.
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DOI：
10.1038/s41598-017-04699-1
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发表时间：
2017-07-05
影响因子：
4.6
通讯作者：
Doyle BJ
中科院分区：
文献类型：
--
作者：
Joldes GR;Miller K;Wittek A;Forsythe RO;Newby DE;Doyle BJ
腹主动脉瘤（AAA）是一种永久性的、不可逆的主动脉下端扩张。这是一种无症状的疾病，如果不及时治疗，可能会扩大直到破裂。尽管不断努力，但仍然没有一种有效的工具来准确估计AAA破裂风险。此外，目前的方法缺乏标准化，计算工作流程中的具体障碍限制了现有方法到临床的转化。本文介绍了BioPARR（基于生物力学的动脉瘤破裂风险预测），这是一个软件系统，可以使用基于有限元分析的方法来分析AAA。除了从医学图像中半自动分割AAA和腔内血栓（ILT）外，整个分析都是自动进行的。该系统是模块化的，易于扩展，允许从不同模式的图像（例如CT和MRI）中提取信息，并模拟不同的建模场景（例如有/没有血栓）。该软件使用现代方法，消除了对患者特定材料特性的需求，克服了所有以前患者特定分析方法的关键限制。该软件系统功能强大，免费，并允许研究人员使用标准化方法对AAA进行比较评估。我们报告了48例病例的初步数据。
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.