Dynamic simulation and analysis of the influence of urethral morphological changes on urodynamics after benign prostatic hyperplasia surgery: A computational fluid dynamics study

尿道 排尿 前列腺尿道 医学 泌尿科 地质学 前列腺 泌尿系统 解剖 内科学 癌症
作者
X Wang,P Liu,Shuanyi Zhao,Fei Wang,Xiaodong Li,Lianqu Wang,Yongjun Yan,Guang‐an Zou,Guoliang Xu
出处
期刊:Computer Methods and Programs in Biomedicine [Elsevier BV]
卷期号:243: 107915-107915
标识
DOI:10.1016/j.cmpb.2023.107915
摘要

Computational fluid dynamics (CFD) technology has been widely used in medicine to simulate and analyse urine flow characteristics in urology. In previous studies, researchers have modelled the analysis with a simple circular urethra, ignoring the effect of the patient's true urethral morphology on the urinary flow rate. Moreover, the studies tended to be steady-state simulations rather than dynamic simulations. Therefore, this study is established a relatively realistic model of the posterior urethra based on MRI data combined with the urodynamic data of patients and analysed the urodynamic characteristics of the posterior urethra model after benign prostatic hyperplasia (BPH) surgery using a CFD dynamic simulation. Based on clinical MRI data, a three-dimensional real urethral model was established for two patients with BPH after surgery. The boundary conditions were set according to the patients’ real urodynamic data, and a Reynolds averaged Navier‒Stokes model was used for transient simulations. The dynamic simulation depicts the entire urination process, and the urine flow characteristics are studied under real urethral morphology after surgery. 1. By comparing the three-dimensional trajectory of urine and the vortex identification cloud map based on the Q criterion, we intuitively observed the distribution of the vortex in the model, and a ‘gourd-shaped’ urethra was more likely to generate a vortex than a ‘funnel-shaped’ urethra. 2. After surgery for BPH, the changes in the posterior urethral pressure were mainly concentrated in the urethral membrane, and the velocity increased while the pressure decreased. The curve of the posterior urethral pressure changes during urination was simulated and calculated. The posterior urethral pressure gradients of the two patients were 6.6 cmH2O and 5.26 cmH2O. The complete urinary discharge process can be dynamically simulated using CFD techniques. By comparing the simulation results, the posterior urethral morphology can have an important impact on the urinary flow characteristics. Determining of the location of vortex generation can lay a foundation for personalized surgical plans for patients in the future. Furthermore, numerical simulations can provide a new method for the study of noninvasive posterior urethral pressure gradients.
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