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1.
Ann Biomed Eng ; 48(10): 2449-2465, 2020 Oct.
Article in English | MEDLINE | ID: mdl-32394221

ABSTRACT

Numerical models of endografts for the simulation of endovascular aneurysm repair are increasingly important in the improvement of device designs and patient outcomes. Nevertheless, current finite element analysis (FEA) models of complete endograft devices come at a high computational cost, requiring days of runtime, therefore restricting their applicability. In the current study, an efficient FEA model of the Anaconda™ endograft (Terumo Aortic, UK) was developed, able to yield results in just over 4 h, an order of magnitude less than similar models found in the literature. The model was used to replicate a physical device that was deployed in a 3D printed aorta and comparison of the two shapes illustrated a less than 5 mm placement error of the model in the regions of interest, consistent with other more computationally intensive models in the literature. Furthermore, the final goal of the study was to utilize the deployed fabric model in a hemodynamic analysis that would incorporate realistic fabric folds, a feature that is almost always omitted in similar simulations. By successfully exporting the deployed graft geometry into a flow analysis, it was illustrated that the inclusion of fabric wrinkles enabled clinically significant flow patterns such as flow stagnation and recirculation to be detected, paving the way for this modelling methodology to be used in future for stent design optimisation.


Subject(s)
Blood Vessel Prosthesis , Models, Cardiovascular , Aorta, Abdominal/surgery , Aortic Aneurysm, Abdominal/surgery , Catheters , Endovascular Procedures/instrumentation , Finite Element Analysis , Hemodynamics , Humans , Hydrodynamics
2.
Sci Rep ; 10(1): 4673, 2020 03 13.
Article in English | MEDLINE | ID: mdl-32170088

ABSTRACT

Stent graft devices for the treatment of abdominal aortic aneurysms (AAAs) are being increasingly used worldwide. Yet, during modelling and optimization of these devices, as well as in clinical practice, vascular sections are idealized, possibly compromising the effectiveness of the intervention. In this study, we challenge the commonly used approximation of the circular cross-section of the aorta and identify the implications of this approximation to the mechanical assessment of stent grafts. Using computed tomography angiography (CTA) data from 258 AAA patients, the lumen of the aneurysmal neck was analysed. The cross-section of the aortic neck was found to be an independent variable, uncorrelated to other geometrical aspects of the region, and its shape was non-circular reaching elliptical ratios as low as 0.77. These results were used to design a finite element analysis (FEA) study for the assessment of a ring stent bundle deployed under a variety of aortic cross-sections. Results showed that the most common clinical approximations of the vascular cross-section can be a source of significant error when calculating the maximum stent strains (underestimated by up to 69%) and radial forces (overestimated by up to 13%). Nevertheless, a less frequently used average approximation was shown to yield satisfactory results (5% and 2% of divergence respectively).


Subject(s)
Aortic Aneurysm, Abdominal/diagnostic imaging , Aortic Aneurysm, Abdominal/pathology , Prosthesis Design , Stents , Algorithms , Aortic Aneurysm, Abdominal/surgery , Computed Tomography Angiography , Endovascular Procedures/methods , Endovascular Procedures/standards , Humans , Imaging, Three-Dimensional , Models, Theoretical
3.
Ann Biomed Eng ; 48(1): 144-156, 2020 Jan.
Article in English | MEDLINE | ID: mdl-31317366

ABSTRACT

Ring stent bundles have been used in several biomedical stent-graft devices for decades, yet in the published literature, the numerical models of these structures always present significant simplifications. In this paper, a finite element (FE) ring stent bundle has been developed and evaluated with a combination of beam and surface elements. With this approach, the shape, the global stiffness and the strains of the structure can all be well predicted at a low computational cost while the approach is suitable for application to non-symmetrical, patient-specific implant simulations. The model has been validated against analytical and experimental data showing that the manufacturing strains can be predicted to a 0.1% accuracy and the structural stiffness with 0-7% precision. The model has also been compared with a more computationally expensive FE model of higher fidelity, revealing a discrepancy of 0-5% of the strain value. Finally, it has been shown that the exclusion of the manufacturing process from the simulation, a technique used in the literature, quadruples the analysis error. This is the first model that can capture the mechanical state of a full ring stent bundle, suitable for complex implant geometry simulations, with such accuracy.


Subject(s)
Finite Element Analysis , Models, Theoretical , Stents , Computer Simulation
4.
Sci Rep ; 9(1): 17379, 2019 11 22.
Article in English | MEDLINE | ID: mdl-31758013

ABSTRACT

The abdominal aortic aneurysm (AAA) anatomy influences the technical success of the endovascular aneurysm repair (EVAR), yet very few data regarding the aortic tree angles exist in the literature. This poses great limitations in the numerical analyses of endografts, constraining their design improvement as well as the identification of their operational limitations. In this study, a matrix Φ of 10 angles was constructed for the description of the pathological region and was implemented on a large dataset of anatomies. More specifically, computed tomography angiographies from 258 patients were analysed and 10 aortic angles were calculated per case, able to adequately describe the overall AAA shape. 9 dimensional variables (i.e. diameters and lengths) were also recorded. The median and extreme values of these variables were computed providing a detailed quantification of the geometrical landscape of the AAA. Moreover, statistical analysis showed that the identified angles presented no strong correlation with each other while no lateral or anterior/posterior symmetry of the AAA was identified. These findings suggest that endograft designers are free to construct any extreme case-studies with the values provided in a mix-and-match manner. This strategy can have a powerful effect in EVAR stent graft designing, as well as EVAR planning.


Subject(s)
Aorta, Abdominal/anatomy & histology , Aorta, Abdominal/pathology , Aortic Aneurysm, Abdominal/pathology , Blood Vessel Prosthesis , Prosthesis Design , Aged , Aged, 80 and over , Aorta, Abdominal/diagnostic imaging , Aortic Aneurysm, Abdominal/diagnostic imaging , Aortic Aneurysm, Abdominal/surgery , Blood Vessel Prosthesis/standards , Blood Vessel Prosthesis Implantation , Computed Tomography Angiography , Datasets as Topic/statistics & numerical data , Endovascular Procedures , Female , Follow-Up Studies , Humans , Imaging, Three-Dimensional , Male , Middle Aged , Organ Size , Prosthesis Design/methods , Prosthesis Design/standards , Reference Values , Retrospective Studies , Stents/standards , Tomography, X-Ray Computed
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