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A Predictive Framework to Elucidate Venous Stenosis: CFD & Shape Optimization.

S M Javid Mahmoudzadeh Akherat1, Kevin Cassel1, Michael Boghosian1

  • 1Mechanical, Materials, and Aerospace Engineering Department, Illinois Institute of Technology, Chicago, IL, USA.

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Summary
This summary is machine-generated.

This study uses computational fluid dynamics (CFD) to predict vascular access failure in renal failure patients. By optimizing venous shapes to regulate wall shear stress (WSS), researchers aim to prevent neointimal hyperplasia and maintain access patency.

Keywords:
Arteriovenous FistulaCFDHemodialysisHemodynamicsNeointimal HyperplasiaShape OptimizationVascular Access

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Science

Background:

  • Vascular accesses for hemodialysis in renal failure patients often fail due to neointimal hyperplasia (NH) and stenosis.
  • Excessive wall shear stress (WSS) is a suspected trigger for NH, leading to access complications.

Purpose of the Study:

  • To develop a framework for monitoring and predicting venous system evolution post-vascular access creation.
  • To investigate the role of non-homeostatic WSS in triggering NH and access failure.
  • To analyze venous system deformation modes under non-physiological hemodynamics.

Main Methods:

  • Computational fluid dynamics (CFD) was used to analyze WSS distribution.
  • CFD was coupled with a gradient-free shape optimization method.
  • The study analyzed optimal venous shapes and their hemodynamic responses.

Main Results:

  • Optimally evolved venous shapes and hemodynamics showed a tendency to restore pre-surgery homeostatic conditions.
  • The CFD-shape optimization coupling demonstrated the ability to regulate WSS towards physiological targets.

Conclusions:

  • A CFD-shape optimization approach can accurately predict patient-specific vascular access failure modes.
  • Regulating WSS to a physiological range is key to maintaining access patency and preventing complications.