Prediction of post-stenting biomechanics in coarcted aortas: A pilot finite element study

Alessandro Caimi1, Matteo Pasquali1, Francesco Sturla2

  • 1Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.

Insights

Endovascular stenting effectively treats aortic coarctation but can lead to late hypertension. This study used finite element analysis to simulate stenting, revealing its impact on aortic biomechanics and informing patient selection for improved outcomes.

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Research
  • Computational Mechanics

Background:

  • Endovascular stenting is a standard treatment for native coarctation of the aorta (CoA).
  • Despite short-term success, late hypertension remains a significant risk after CoA stenting.
  • Understanding the biomechanical impact of stenting on the aorta is crucial for mitigating long-term complications.

Purpose of the Study:

  • To assess the impact of endovascular stenting on aortic wall biomechanics in patient-specific coarctation of the aorta (CoA) anatomies.
  • To develop and validate a finite element (FE) protocol for simulating endovascular stenting in CoA.
  • To investigate the influence of patient-specific anatomical features on post-stenting aortic biomechanics.

Main Methods:

  • Development of a novel finite element (FE) protocol for simulating endovascular stenting.
  • Application of the FE protocol to three patient-specific CoA anatomies with varying severities.
  • Implementation of a remeshing procedure to accommodate different CoA severities and arch types.

Main Results:

  • The FE protocol successfully yielded numerical results on stent distortions and stresses.
  • The simulation demonstrated changes in aortic wall stresses and distensibility post-stenting.
  • Numerical results were consistent with intraprocedural in-vivo evidence and existing literature.

Conclusions:

  • The developed FE protocol can simulate endovascular stenting in CoA and analyze its biomechanical effects.
  • Patient-specific anatomical features, such as CoA severity and arch type, influence post-stenting aortic biomechanics.
  • This numerical approach holds potential for supporting patient selection in endovascular stenting for CoA.

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