ArticleMedical & biological engineering & computing2020
A computational analysis of the effect of supporting organs on predicted vesical pressure in stress urinary incontinence.
Article in Medical & biological engineering & computing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Finite element modeling in obstetrics and gynecology: advances, applications, and challenges.Frontiers in medicine · 2025Review
- Is the time right for a new initiative in mathematical modeling of the lower urinary tract? ICI-RS 2023.Neurourology and urodynamics · 2024Review
- Effect of ureteral stent length and implantation position on migration after implantation.Medical & biological engineering & computing · 2023Article
- Review
- Urethral support in female urinary continence part 2: a computational, biomechanical analysis of Valsalva.International urogynecology journal · 2022Article
- Comprehensive treatment of pelvic floor muscle training plus biofeedback electrical stimulation for stress urinary incontinence: a clinical study.American journal of translational research · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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. Graphical abstract
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.