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Vessel Asymmetry As an Additional Diagnostic Tool in the Assessment of Abdominal Aortic Aneurysms

Overview
Journal J Vasc Surg
Publisher Elsevier
Date 2008 Nov 26
PMID 19028061
Citations 37
Authors
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Abstract

Objective: Abdominal aortic aneurysm (AAA) rupture is believed to occur when the local mechanical stress exceeds the local mechanical strength of the wall tissue. On the basis of this hypothesis, the knowledge of the stress acting on the wall of an unruptured aneurysm could be useful in determining the risk of rupture. The role of asymmetry has previously been identified in idealized AAA models and is now studied using realistic AAAs in the current work.

Methods: Fifteen patient-specific AAAs were studied to estimate the relationship between wall stress and geometrical parameters. Three-dimensional AAA models were reconstructed from computed tomography scan data. The stress distribution on the AAA wall was evaluated by the finite element method, and peak wall stress was compared with both diameter and centerline asymmetry. A simple method of determining asymmetry was adapted and developed. Statistical analyses were performed to determine potential significance of results.

Results: Mean von Mises peak wall stress +/- standard deviation was 0.4505 +/- 0.14 MPa (range, 0.3157-0.9048 MPa). Posterior wall stress increases with anterior centerline asymmetry. Peak stress increased by 48% and posterior wall stress by 38% when asymmetry was introduced into a realistic AAA model.

Conclusion: The relationship between posterior wall stress and AAA asymmetry showed that excessive bulging of one surface results in elevated wall stress on the opposite surface. Assessing the degree of bulging and asymmetry that is experienced in an individual AAA may be of benefit to surgeons in the decision-making process and may provide a useful adjunct to diameter as a surgical intervention guide.

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References
1.
Vorp D, Raghavan M, Webster M . Mechanical wall stress in abdominal aortic aneurysm: influence of diameter and asymmetry. J Vasc Surg. 1998; 27(4):632-9. DOI: 10.1016/s0741-5214(98)70227-7. View

2.
Sayers R . Aortic aneurysms, inflammatory pathways and nitric oxide. Ann R Coll Surg Engl. 2002; 84(4):239-46. PMC: 2504226. DOI: 10.1308/003588402320439667. View

3.
Raghavan M, Vorp D . Toward a biomechanical tool to evaluate rupture potential of abdominal aortic aneurysm: identification of a finite strain constitutive model and evaluation of its applicability. J Biomech. 2000; 33(4):475-82. DOI: 10.1016/s0021-9290(99)00201-8. View

4.
Nicholls S, Gardner J, Meissner M, Johansen H . Rupture in small abdominal aortic aneurysms. J Vasc Surg. 1998; 28(5):884-8. DOI: 10.1016/s0741-5214(98)70065-5. View

5.
Kleinstreuer C, Li Z . Analysis and computer program for rupture-risk prediction of abdominal aortic aneurysms. Biomed Eng Online. 2006; 5:19. PMC: 1421417. DOI: 10.1186/1475-925X-5-19. View