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A Computational Analysis of the Effect of Supporting Organs on Predicted Vesical Pressure in Stress Urinary Incontinence by Mojtaba Barzegari; Bahman Vahidi; Mohammad Reza Safarinejad; Mahtab Ebad is a Medicine article available to read on EtoBox.

What is A Computational Analysis of the Effect of Supporting Organs on Predicted Vesical Pressure in Stress Urinary Incontinence about?

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 line

Who reads A Computational Analysis of the Effect of Supporting Organs on Predicted Vesical Pressure in Stress Urinary Incontinence?

It is typically read by researchers, students, and practitioners in Medicine.

Author
Mojtaba Barzegari; Bahman Vahidi; Mohammad Reza Safarinejad; Mahtab Ebad
Publisher
Springer; Springer-Verlag; Peter Peregrinus, Ltd.; Springer Verlag; International Federation For Medical Electronics; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1741-0444)
Published
2020
Language
EN
Field
Medicine (Health Sciences)

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