Correlation between intravesical pressure and prostatic obstruction grade using computational fluid dynamics in benign prostatic hyperplasia.

An urodynamic test which measures various physiologic variables during voiding is generally used for accurate diagnosis of a bladder outlet obstruction (BOO) resulting from benign prostatic hyperplasia (BHP). However, this method is difficult to directly apply to all patients because it is an invasive test and many patients suffer from anxiety and embarrassment during the test. Thus, other diagnosis methods such as uroflowmetry and prostatic symptom score are performed to measure the degree of BOO prior to the urodynamic test, and it is necessary to construct a quantitative relationship among the obstruction level, the intravesical pressure, and the uroflow rate. The aim of this paper is to analyse the variation of intravesical pressure as a function of the extent of the obstruction and the uroflow rate from given information on the size of the bladder and the urodynamic test using a computational fluid dynamics approach. In order to analyse the intravesical pressure, a two-dimensional axisymmetric model of the bladder including a narrowed region, i.e. the prostatic obstruction, is created. Then the variation of the intravesical pressure is quantitatively obtained as a function of the magnitude of the uroflow rate and the extent of the obstruction. It is shown that the intravesical pressure significantly increases even for small obstructions and that at large obstructions it can reach values higher than 100 cm H2O, which is a dangerous value. It is shown that the intravesical pressure decreases as the uroflow rate decreases. This study can form the basis of a non-invasive test for the diagnosis of BHP.

Citation

M K Lee, S H Lee, N Hur, S Kim, S Kim, B Choi. Correlation between intravesical pressure and prostatic obstruction grade using computational fluid dynamics in benign prostatic hyperplasia. Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine. 2011 Sep;225(9):920-8

Mesh Tags

PMID: 22070029

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