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Xenos, M., Rambhia, S.H., Alemu, Y., Einav, S., Labropoulos, N., Tassiopoulos, A., Ricotta, J.J. and Bluestein, D. (2010) Patient-based abdominal aortic aneurysm rupture risk prediction with fluid structure interaction modeling. Annals of Biomedical Engineering, 38, 3323-3337. doi:10.1007/s10439-010-0094-3

has been cited by the following article:

• TITLE: Biomechanical prediction of abdominal aortic aneurysm rupture risk: Sensitivity analysis

  AUTHORS: Shijia Zhao, Wenlong Li, Linxia Gu

  KEYWORDS: Abdominal Aortic Aneurysm (AAA); Response Surface Method; Central Composite Design (CCD); Regression; Peak Wall Stress; Finite Element Analysis (FEA)

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.5 No.11, November 27, 2012

  ABSTRACT: Objectives: The purpose of this research is to determine the quantitative relationship between the peak wall stress of abdominal aortic aneurysm (AAA) and its clinical risk factors including its maximum diameter, asymmetry index, wall thickness and abnormal high blood pressure. Methods: The response surface experimental design with one response and four variables was used to design the experimental tests. Thirty experiments were performed through finite element analysis in order to obtain the designed response values. Results: A nonlinear multivariable regression function was developed based on the experimental data. Results demonstrated the inefficiency of traditional 5-cm criterion for estimating the rupture of AAA. The profound effect of wall thickness on the peak wall stress has been observed and validated by the existing publications. Conclusion: The conventional 5-cm criterion for estimating AAA rupture might induce biased prediction, and multiple clinical risk factors need to be considered in realistic clinical settings.