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基于患者的腹主动脉瘤破裂风险预测的流固耦合建模。

Patient-based abdominal aortic aneurysm rupture risk prediction with fluid structure interaction modeling.

机构信息

Department of Biomedical Engineering, Stony Brook University, HSC T18-030, Stony Brook, NY 11794-8181, USA.

出版信息

Ann Biomed Eng. 2010 Nov;38(11):3323-37. doi: 10.1007/s10439-010-0094-3. Epub 2010 Jun 15.

DOI:10.1007/s10439-010-0094-3
PMID:20552276
Abstract

Elective repair of abdominal aortic aneurysm (AAA) is warranted when the risk of rupture exceeds that of surgery, and is mostly based on the AAA size as a crude rupture predictor. A methodology based on biomechanical considerations for a reliable patient-specific prediction of AAA risk of rupture is presented. Fluid-structure interaction (FSI) simulations conducted in models reconstructed from CT scans of patients who had contained ruptured AAA (rAAA) predicted the rupture location based on mapping of the stresses developing within the aneurysmal wall, additionally showing that a smaller rAAA presented a higher rupture risk. By providing refined means to estimate the risk of rupture, the methodology may have a major impact on diagnostics and treatment of AAA patients.

摘要

择期修复腹主动脉瘤(AAA)是必要的,当破裂的风险超过手术时,并且主要基于 AAA 大小作为一个粗略的破裂预测指标。提出了一种基于生物力学考虑的方法,用于可靠地预测 AAA 破裂的风险。基于从发生破裂的 AAA(rAAA)患者的 CT 扫描重建的模型进行的流固耦合(FSI)模拟,根据在动脉瘤壁内形成的应力映射预测破裂位置,此外还表明较小的 rAAA 具有更高的破裂风险。通过提供更精确的方法来估计破裂的风险,该方法可能对 AAA 患者的诊断和治疗产生重大影响。

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