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Towards A Noninvasive Method for Determination of Patient-Specific Wall Strength Distribution in Abdominal Aortic Aneurysms

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Abstract

The spatial distributions of both wall stress and wall strength are required to accurately evaluate the rupture potential for an individual abdominal aortic aneurysm (AAA). The purpose of this study was to develop a statistical model to non-invasively estimate the distribution of AAA wall strength. Seven parameters–namely age, gender, family history of AAA, smoking status, AAA size, local diameter, and local intraluminal thrombus (ILT) thickness–were either directly measured or recorded from the patients hospital chart. Wall strength values corresponding to these predictor variables were calculated from the tensile testing of surgically procured AAA wall specimens. Backwards–stepwise regression techniques were used to identify and eliminate insignificant predictors for wall strength. Linear mixed-effects modeling was used to derive a final statistical model for AAA wall strength, from which 95% confidence intervals on the model parameters were formed. The final statistical model for AAA wall strength consisted of the following variables: sex, family history, ILT thickness, and normalized transverse diameter. Demonstrative application of the model revealed a unique, complex wall strength distribution, with strength values ranging from 56 N/cm2 to 133 N/cm2. A four-parameter statistical model for the noninvasive estimation of patient-specific AAA wall strength distribution has been successfully developed. The currently developed model represents a first attempt towards the noninvasive assessment of AAA wall strength. Coupling this model with our stress analysis technique may provide a more accurate means to estimate patient-specific rupture potential of AAA.

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ACKNOWLEDGMENTS

The authors acknowledge the technical contributions made to this work by Mr. Mohammed El-Kurdi. This work was supported by grants from The Pittsburgh Foundation, and the NIH (grants #RO1 HL 060670 and #R01 HL 079313), all to DAV.

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  1. Jonathan P. Vande Geest

    Present address: Department of Aerospace and Mechanical Engineering, University of Arizona, Tucson, AZ, USA

Authors and Affiliations

  1. Department of Surgery, Division of Vascular Surgery, Pittsburgh, PA, 15219, USA

    Jonathan P. Vande Geest, David H. J. Wang, Michel S. Makaroun & David A. Vorp

  2. Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA

    Jonathan P. Vande Geest, David H. J. Wang & David A. Vorp

  3. Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA

    Stephen R. Wisniewski

  4. The McGowan Institute for Regenerative Medicine, Pittsburgh, USA

    David A. Vorp

  5. Department of Surgery, Division of Vascular Surgery, Vascular Surgery and Vascular Biomechanics Laboratory, McGowan Institute for Regenerative Medicine, Suite 200, Bridgeside Point Building, 100 Technology Drive, Pittsburgh, PA, 15219, USA

    David A. Vorp

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  1. Jonathan P. Vande Geest
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Correspondence to David A. Vorp.

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Vande Geest, J.P., Wang, D.H.J., Wisniewski, S.R. et al. Towards A Noninvasive Method for Determination of Patient-Specific Wall Strength Distribution in Abdominal Aortic Aneurysms. Ann Biomed Eng 34, 1098–1106 (2006). https://doi.org/10.1007/s10439-006-9132-6

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