Simulation and probabilistic failure prediction of grafts for aortic aneurysm

Layman, Ron; Missoum, Samy; Geest, Jonathan Vande

doi:10.1108/02644401011008531

Cited by 16 publications

(19 citation statements)

References 28 publications

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“…We plan to study this using FSI methods which have been used in our laboratory to simulate the onset of stent-graft migration and type I endoleak. 21 Our laboratory is also currently using physical experiments of PEAP in a mock flow loop to study its performance under more physiological hemodynamic conditions. One of our long-term goals is to optimize the mechanical properties and geometry of PEAP materials such that type I endoleak and migration are minimized.…”

Section: Discussionmentioning

confidence: 99%

“…1,17 Both PCL and PU are blood compatible and have been investigated for cardiovascular devices. 1,19,21,29 Testing in our laboratory revealed that PCL/PU blends are thermoformable at 55°C, resistant to biodegradation, and have mechanical properties that can be controlled by varying PCL/ PU ratios. 3 In order for PEAP to prevent AAA rupture and provide a viable option to treat AAA, it must reduce aneurysm wall stress at least as effectively as stentgrafts.…”

Section: Introductionmentioning

confidence: 99%

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Wall Stress Reduction in Abdominal Aortic Aneurysms as a Result of Polymeric Endoaortic Paving

et al. 2011

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Polymeric endoaortic paving (PEAP) may improve endovascular repair of abdominal aortic aneurysms (AAA) since it has the potential to treat patients with complex AAA geometries while reducing the incidence of migration and endoleak. Polycaprolactone (PCL)/polyurethane (PU) blends are proposed as PEAP materials due to their range of mechanical properties, thermoformability, and resistance to biodegradation. In this study, the reduction in AAA wall stress that can be achieved using PEAP was estimated and compared to that resulting from stent-grafts. This was accomplished by mechanically modeling the anisotropic response of PCL/PU blends and implementing these results into finite element model (FEM) simulations. We found that at the maximum diameter of the AAA, the 50/50 and 10/90 PCL/PU blends reduced wall stress by 99 and 98%, respectively, while a stent-graft reduced wall stress by 99%. Our results also show that wall stress reduction increases with increasing PEAP thickness and PCL content in the blend ratio. These results indicate that PEAP can reduce AAA wall stress as effectively as a stent-graft. As such, we propose that PEAP may provide an improved treatment alternative for AAA, since many of the limitations of stent-grafts have the potential to be solved using this approach.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wall Stress Reduction in Abdominal Aortic Aneurysms as a Result of Polymeric Endoaortic Paving

et al. 2011

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“…It can handle problems with discontinuous or binary responses [8,13,20]. In addition, the approach can easily handle multiple constraints [15,21].…”

Section: A Explicit Design Space Decomposition (Edsd)mentioning

confidence: 99%

Constrained Efficient Global Optimization with Probabilistic Support Vector Machines

Basudhar

Lacaze²,

Missoum

2010

13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference

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This paper presents a methodology for constrained efficient global optimization (EGO) using support vector machines (SVMs). The proposed SVM-based method has several advantages. It is more general because it is applicable to a wider variety of problems compared to current techniques. These include problems with discontinuous and binary (pass/fail) states and multiple constraints. In this paper, the objective function is approximated using Kriging while the constraint boundary is approximated using an SVM classifier. The probability of misclassification by the SVM is calculated using a probabilistic support vector machine (PSVM). The existing PSVM models have certain limitations that make them unsuitable for application in the proposed methodology. Therefore, a modified PSVM model is also proposed to overcome these limitations. Several constrained EGO formulations are implemented and compared in this paper. The results are also compared to EGO implementations with Kriging-based constraint approximations from the literature.

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“…These however require the precise modeling of the mechanical properties of the implant in order to optimize its functions in-vivo. it is difficult to deterministically quantify design outcome invivo due to variation in environmental and stress conditions, Computer Aided Deisgn (CAD) of mainly orthopedic implants have employed probabilistic approaches ranging from wear models to finite element simulations for evaluation and optimization (Layman et al, 2010;Kayabasi and Ekici 2008;Laz and Browne 2010;Pal et al, 2008;Chevalier et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic predictive modelling of carbon nanocomposites for medical implants design

Chua¹,

Chui²

2015

Journal of the Mechanical Behavior of Biomedical Materials

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Simulation and probabilistic failure prediction of grafts for aortic aneurysm

Cited by 16 publications

References 28 publications

Wall Stress Reduction in Abdominal Aortic Aneurysms as a Result of Polymeric Endoaortic Paving

Wall Stress Reduction in Abdominal Aortic Aneurysms as a Result of Polymeric Endoaortic Paving

Constrained Efficient Global Optimization with Probabilistic Support Vector Machines

Probabilistic predictive modelling of carbon nanocomposites for medical implants design

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