Skip to main content

Advertisement

Log in

A computational analysis of the effect of supporting organs on predicted vesical pressure in stress urinary incontinence

  • Original Article
  • Published:
Medical & Biological Engineering & Computing Aims and scope Submit manuscript

Abstract

Stress urinary incontinence (SUI) or urine leakage from urethra occurs due to an increase in abdominal pressure resulting from stress like a cough or jumping height. SUI is more frequent among post-menopausal women. In the absence of bladder contraction, vesical pressure exceeds urethral pressure leading to urine leakage. The main aim of this study is to utilize fluid-structure interaction techniques to model bladder and urethra computationally under an external pressure like sneezing. Both models have been developed with linear elastic properties for the bladder wall while the patient model has also been simulated utilizing the Mooney-Rivlin solid model. The results show a good agreement between the clinical data and the predicted values of the computational models, specifically the pressure at the center of the bladder. There is 1.3% difference between the predicted vesical pressure and the vesical pressure obtained from urodynamic tests. It can be concluded that the accuracy of the predicted pressure in the center of the bladder is significantly higher for the simulation assuming nonlinear material property (hyperelastic) for the bladder in comparison to the accuracy of the linear elastic model. The model is beneficial for exploring treatment solutions for SUI disorder.

3D processing of bladder deformation during abdominal pressure of a the physiological model and b the pathological model (starting from left to right and up to down, consecutively)

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Wilson L, Brown JS, Shin GP, Luc K-O, Subak LL (2001) Annual direct cost of urinary incontinence. Obstet Gynecol 98:398–406

    CAS  PubMed  Google Scholar 

  2. Hardy LA, Chang CH, Myers EM, Kennelly MJ, Fried NM (2017) Computer simulations of thermal tissue remodeling during transvaginal and transurethral laser treatment of female stress urinary incontinence. Lasers Surg Med 49:198–205

    Article  Google Scholar 

  3. Dias N, Peng Y, Khavari R, Nakib NA, Sweet RM, Timm GW et al (2017) Pelvic floor dynamics during high-impact athletic activities: a computational modeling study. Clin Biomech (Bristol, Avon) 41:20–27

    Article  Google Scholar 

  4. Enhorning G (1961) Simultaneous recording of intravesical and intra-urethral pressure. Acta Chir Scand:1–68

  5. Petros PEP, Ulmsten UI (1990) An integral theory of female urinary incontinence: experimental and clinical considerations. Acta Obstet Gynecol Scand 69:7–31

    Article  Google Scholar 

  6. Ashton-Miller J, DeLANCEY JO (2014) Functional anatomy of the female pelvic floor. In: Bø K, Berghmans B, Mørkved S, van Kampen M (eds) Evidence based physical therapy for the pelvic floor—bridging science and clinical practice, pp 19–33

    Google Scholar 

  7. Bhattarai A, Staat M (2018) Modelling of soft connective tissues to investigate female pelvic floor dysfunctions. Comput Math Methods Med 2018

  8. Peng Y, Miller BD, Boone TB, Zhang Y (2018) Modern theories of pelvic floor support. Curr Urol Rep 19:9

    Article  Google Scholar 

  9. Kim K-J (1994) Biomedical analyses of female stress urinary incontinence: University of Michigan

  10. Haridas B, Hong H, Minoguchi R, Owens S, Osborn T (2006) PelvicSim—a computational-experimental system for biomechanical evaluation of female pelvic floor organ disorders and associated minimally invasive interventions. Stud Health Technol Inf 119:182–187

    Google Scholar 

  11. Spirka T, Kenton K, Brubaker L, Damaser MS (2013) Effect of material properties on predicted vesical pressure during a cough in a simplified computational model of the bladder and urethra. Ann Biomed Eng 41:185–194

    Article  Google Scholar 

  12. Vahidi B, Fatouraee N (2007) Mathematical modeling of the ureteral peristaltic flow with fluid structure interaction. Measurements 5:6

    Google Scholar 

  13. Vahidi B, Fatouraee N (2012) A biomechanical simulation of ureteral flow during peristalsis using intraluminal morphometric data. J Theor Biol 298:42–50

    Article  Google Scholar 

  14. Vahidi B, Fatouraee N, Imanparast A, Moghadam AN (2011) A mathematical simulation of the ureter: effects of the model parameters on ureteral pressure/flow relations. J Biomech Eng 133:031004

    Article  Google Scholar 

  15. Damaser MS, Lehman SL (1995) The effect of urinary bladder shape on its mechanics during filling. J Biomech 28:725–732

    Article  CAS  Google Scholar 

  16. Zhang Y, Kim S, Erdman AG, Roberts KP, Timm GW (2009) Feasibility of using a computer modeling approach to study SUI induced by landing a jump. Ann Biomed Eng 37:1425–1433

    Article  Google Scholar 

  17. van Leijsen SAL, Kluivers KB, Mol BWJ, Broekhuis SR, Milani FL, Vaart CHVD et al (2009) Protocol for the value of urodynamics prior to stress incontinence surgery (VUSIS) study: a multicenter randomized controlled trial to assess the cost effectiveness of urodynamics in women with symptoms of stress urinary incontinence in whom surgical treatment is considered. BMC Women's Health 9:22

    Article  Google Scholar 

  18. Drake R, Vogl AW, Mitchell AW (2009) Gray’s Anatomy for Students-Rental: With STUDENT CONSULT Online Access: Elsevier Health Sciences.

  19. Netter FH (2006) Atlas of human anatomy, vol 548. Saunders, Elsevier, Philadelphia, p 547

    Google Scholar 

  20. DeLancey JO (1997) The pathophysiology of stress urinary incontinence in women and its implications for surgical treatment. World J Urol 15:268–274

    Article  CAS  Google Scholar 

  21. Delancey JO, Ashton-miller JA (2004) Pathophysiology of adult urinary incontinence. Gastroenterology 126:S23–S32

    Article  Google Scholar 

  22. Sampselle CM, DeLancey JO (1998) Anatomy of female continence. Journal of WOCN 25:63–74

    CAS  PubMed  Google Scholar 

  23. Chan L, The S, Titus J, Tse V (2005) P14. 02: The value of bladder wall thickness measurement in the assessment of overactive bladder syndrome. Ultrasound Obstet Gynecol 26:460–460

    Article  Google Scholar 

  24. Backman K (1971) Effective urethral diameter, Hydrodynamics of Micturition. Charles C. Thomas, Springfield, p 250

    Google Scholar 

  25. Hosein RA, Griffiths DJ (1990) Computer simulation of the neural control of bladder and urethra. Neurourol Urodyn 9:601–618

    Article  Google Scholar 

  26. Janda Š, Van Der Helm FC, de Blok SB (2003) Measuring morphological parameters of the pelvic floor for finite element modelling purposes. J Biomech 36:749–757

    Article  Google Scholar 

  27. d'Aulignac D, Martins J, Pires E, Mascarenhas T, Jorge RN (2005) A shell finite element model of the pelvic floor muscles. Comput Methods Biomech Biomed Eng 8:339–347

    Article  CAS  Google Scholar 

  28. (2019) R. ANSYS Mechanical, Help System, Explicit Dynamics Analysis Guide, 7.9.5, ANSYS, Inc

  29. Bastiaanssen E, Van Leeuwen J, Vanderschoot J, Redert P (1996) A myocybernetic model of the lower urinary tract. J Theor Biol 178:113–133

    Article  CAS  Google Scholar 

  30. Yamada HS (1970) In: Evans FG (ed) Strength of biological materials. Williams and Wilkins, Baltimore

    Google Scholar 

  31. Bakken L, Anderson P (1967) The complete equation of state handbook. Sandia Corporation SCL-TM-67-118

  32. Griffiths D (1969) Urethral elasticity and micturition hydrodynamics in females. Med Biol Eng 7:201–215

    Article  CAS  Google Scholar 

  33. Spángberg A, Terió H, Engberg A, Ask P (1989) Quantification of urethral function based on Griffiths’ model of flow through elastic tubes. Neurourol Urodyn 8:29–52

    Article  Google Scholar 

  34. Bastiaanssen E, Vanderschoot J, Van Leeuwen J (1996) State-space analysis of a myocybernetic model of the lower urinary tract. J Theor Biol 180:215–227

    Article  CAS  Google Scholar 

  35. Griffiths D (1971) Hydrodynamics of male micturition—I theory of steady flow through elastic-walled tubes. Med Biol Eng 9:581–588

    Article  CAS  Google Scholar 

  36. Horak M, Křen J (2003) Mathematical model of the male urinary tract. Math Comput Simul 61:573–581

    Article  Google Scholar 

  37. van Mastrigt R, Griffiths D (1986) An evaluation of contractility parameters determined from isometric contractions and micturition studies. Urol Res 14:45–52

    Article  Google Scholar 

  38. Fielding JR, Griffiths D, Versi E, Mulkern R, Lee M, Jolesz F (1998) MR imaging of pelvic floor continence mechanisms in the supine and sitting positions. AJR Am J Roentgenol 171:1607–1610

    Article  CAS  Google Scholar 

  39. Lotz HT, Remeijer P, van Herk M, Lebesque JV, de Bois JA, Zijp LJ, Moonen LM (2004) A model to predict bladder shapes from changes in bladder and rectal filling. Med Phys 31:1415–1423

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bahman Vahidi.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 314 kb).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Barzegari, M., Vahidi, B., Safarinejad, M.R. et al. A computational analysis of the effect of supporting organs on predicted vesical pressure in stress urinary incontinence. Med Biol Eng Comput 58, 1079–1089 (2020). https://doi.org/10.1007/s11517-020-02148-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11517-020-02148-2

Keywords

Navigation