2023
DOI: 10.3389/fcvm.2023.1141623
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Fabrication of deformable patient-specific AAA models by material casting techniques

Maria Nicole Antonuccio,
Emanuele Gasparotti,
Francesco Bardi
et al.

Abstract: BackgroundAbdominal Aortic Aneurysm (AAA) is a balloon-like dilatation that can be life-threatening if not treated. Fabricating patient-specific AAA models can be beneficial for in-vitro investigations of hemodynamics, as well as for pre-surgical planning and training, testing the effectiveness of different interventions, or developing new surgical procedures. The current direct additive manufacturing techniques cannot simultaneously ensure the flexibility and transparency of models required by some applicatio… Show more

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Cited by 4 publications
(1 citation statement)
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“…In current medical practice, the generation of patient-specific models for AAA has become increasingly common. Advanced imaging technologies such as computed tomography (CT) scans and magnetic resonance imaging (MRI), coupled with 3D software tools such as SpaceClaim (ANSYS, Inc., Canonsburg, PA, USA), enable highly accurate design of anatomically correct AAA models fabricated from silicone-like materials, facilitating fenestrated endovascular aortic repair (FEVAR) [15]. These models serve as a platform for conducting parametric studies, facilitating a comprehensive analysis of hemodynamic parameters [16].…”
Section: Introductionmentioning
confidence: 99%
“…In current medical practice, the generation of patient-specific models for AAA has become increasingly common. Advanced imaging technologies such as computed tomography (CT) scans and magnetic resonance imaging (MRI), coupled with 3D software tools such as SpaceClaim (ANSYS, Inc., Canonsburg, PA, USA), enable highly accurate design of anatomically correct AAA models fabricated from silicone-like materials, facilitating fenestrated endovascular aortic repair (FEVAR) [15]. These models serve as a platform for conducting parametric studies, facilitating a comprehensive analysis of hemodynamic parameters [16].…”
Section: Introductionmentioning
confidence: 99%