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Related Experiment Video

Updated: Jan 28, 2026

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Computational Fluid Dynamic Modeling of Urethral Strictures.

Andrew J Cohen1, Nima Baradaran1, Jorge Mena1

  • 1Department of Urology, University of California-San Francisco , San Francisco , California.

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|February 28, 2019
PubMed
Summary

Computational fluid dynamics (CFD) modeling successfully simulated urine flow in the male urethra, revealing key factors influencing flow rates in stricture disease. This approach shows significant potential for clinical applications in urology.

Keywords:
hydrodynamicsmalemedical informatics computingurethral strictureurinary tract physiological phenomena

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Area of Science:

  • Biomedical Engineering
  • Urology
  • Fluid Dynamics

Background:

  • Computational fluid dynamics (CFD) offers significant potential for understanding physiological fluid flow.
  • CFD has already demonstrated clinical impact in cardiovascular disease research.
  • The application of CFD to model urine flow remains an underexplored area.

Purpose of the Study:

  • To evaluate the feasibility and applicability of computational fluid dynamics (CFD) for modeling urine flow.
  • To develop a CFD model of the male genitourinary system to study urethral stricture disease.

Main Methods:

  • An idealized male genitourinary system was modeled using CFD.
  • Sixteen hypothetical urethral stricture scenarios were simulated.
  • Standard urine parameters and fluid dynamic assumptions were applied using ABAQUS/CAE.

Main Results:

  • The model predicted an average flow rate of 5.97 ml/s in urethral stricture disease.
  • A single 5Fr mid-bulbar stricture reduced flow rate to 2.88 ml/s.
  • Stricture diameter and bladder pressure significantly impacted urine flow; location and length had less impact.

Conclusions:

  • A CFD model of the male urethra with various strictures was successfully created.
  • Predicted flow rates align with existing literature.
  • The technology holds substantial research and clinical potential for urological conditions, with future improvements planned for bladder pressure modeling.