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

Computational fluid dynamics Posterior urethral pressure gradient Postoperative benign prostatic hyperplasia Urine flow pattern

Journal

Computer methods and programs in biomedicine
ISSN: 1872-7565
Titre abrégé: Comput Methods Programs Biomed
Pays: Ireland
ID NLM: 8506513

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 19 07 2023
revised: 31 10 2023
accepted: 03 11 2023
medline: 4 12 2023
pubmed: 24 11 2023
entrez: 23 11 2023
Statut: ppublish

Résumé

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 depicted the entire urination process, and the urine flow characteristics were 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 cmH 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 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 non-invasive posterior urethral pressure gradients.

Sections du résumé

BACKGROUND AND OBJECTIVE OBJECTIVE
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.
METHODS METHODS
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 depicted the entire urination process, and the urine flow characteristics were studied under real urethral morphology after surgery.
RESULTS RESULTS
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 cmH
CONCLUSIONS CONCLUSIONS
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 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 non-invasive posterior urethral pressure gradients.

Identifiants

pubmed: 37995487
pii: S0169-2607(23)00581-3
doi: 10.1016/j.cmpb.2023.107915
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107915

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Xihao Wang (X)

Department of Urology, The First Affiliated Hospital of Henan University, Kaifeng, China.

Pengyue Liu (P)

Department of Urology, The First Affiliated Hospital of Henan University, Kaifeng, China.

Sen Zhao (S)

Department of Medical Imageology, The First Affiliated Hospital of Henan University, Kaifeng, China.

Fei Wang (F)

Department of Urology, The First Affiliated Hospital of Henan University, Kaifeng, China.

Xiaodong Li (X)

Department of Urology, The First Affiliated Hospital of Henan University, Kaifeng, China.

Lianqu Wang (L)

Department of Urology, The First Affiliated Hospital of Henan University, Kaifeng, China.

Yongjun Yan (Y)

Department of Urology, The First Affiliated Hospital of Henan University, Kaifeng, China.

Guang-An Zou (GA)

School of Mathematics and Statistics Henan University, Kaifeng, China.

Guoliang Xu (G)

Department of Urology, The First Affiliated Hospital of Henan University, Kaifeng, China. Electronic address: Guoliang001@henu.edu.cn.

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