Home LiteratureArticle Details
PMID: 35797748 Published · ppublish English Journal Article

Numerical investigation of urethra flow characteristics in benign prostatic hyperplasia.

Computer methods and programs in biomedicine ·Vol. 224 ·2022-09-00 ·页码 106978

Jang KS, Kim JW, Ryu J

Abstract

Conventional practice includes a limited depiction of urethral pressure and flows based on fragmented gross clinical observations. However, with technological advancements in simulations, computational fluid dynamics (CFD) can provide an alternative approach to predict the bladder pressure with a concordant quantitative flow field in the urethra. Thus, this study aims to comprehensively analyze the urine flow characteristics in various urethra models using simulations. Three-dimensional urethra models were constructed for seven specific subjects based on clinical radiographs. Simulations with Reynolds averaged Navier-Stokes model were performed to quantitatively investigate the urine flow under various volume flow rate of voided urine. Under benign prostatic hyperplasia, the spindle shape of the prostatic urethra (PRU) generates wake flow. The wake flow was also observed in several regions downstream of the PRU, depending on the urethra shape. This wake flow resulted in total pressure loss and urinary tract dysfunction. When comparing pre- and post-operative urethra models, the bladder pressure decreased by 14.98% in P04 and 4.67% in P06. Thus, we identified variability between surgical results of patients. The bladder pressure according to the volume flow rate of voided urine was investigated using simulations and the theoretical consideration based on hydrodynamics. In theoretical consideration, the bladder pressure was expressed as a second-order polynomial for volume flow rate. These results concur with the simulation results. Numerical simulation can describe the urine flow field in the urethra, providing the possibility to predict the bladder pressure without requiring painful, invasive interventions, such as cystoscopy. Furthermore, effective treatments to improve urination function can be formulated to be patient-specific, by detecting causes and problem regions based on quantitative analysis and predicting post-surgical outcomes.

Keywords
Benign prostatic hyperplasia Computational fluid dynamic Diagnosis Urethra Urine flow
MeSH 主题词
Humans Imaging, Three-Dimensional Male Prostatic Hyperplasia/diagnostic imaging,etiology,physiopathology Urethra/diagnostic imaging,physiopathology Urinary Bladder/diagnostic imaging,physiopathology Urination/physiology Urodynamics/physiology
作者与单位
共 3 位作者,点击展开单位 / ORCID
Jang Kyeong Sik
PKG Design Team, Test& System Package (TSP), Samsung Electronics, Gyeonggi-do 18448, Republic of Korea.
Kim Jin Wook
Department of Urology, Chung-Ang University, Seoul 06974, Republic of Korea; Biomedical Research Institute, Chung-Ang University Hospital, Seoul 06973, Republic of Korea. Electronic address: [email protected].
Ryu Jaiyoung
Department of Mechanical Engineering, Chung-Ang University, Seoul 06974, Republic of Korea; Department of Intelligent Energy and Industry, Chung-Ang University, Seoul 06974, Republic of Korea. Electronic address: [email protected].
Article Info
Journal
Computer methods and programs in biomedicine
Abbr.
Comput Methods Programs Biomed
ISSN
1872-7565
Published
2022-09-00
电子出版
2022-00-27
页码
106978
Language
English
Country/Region
Ireland
NLM ID
8506513
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]