Computational fluid dynamics analysis of ureteral constrictions: Impact on flow dynamics and potential clinical implications

This study investigated the effects of anatomical constrictions on ureteral flow dynamics using computational fluid dynamics (CFD). Constrictions such as those at the ureteropelvic junction (UPJ), vesicoureteral junction (VUJ), and external compression by the iliac artery are common clinical issues associated with significant morbidity. However, their impact on ureteral fluid flow remains insufficiently understood. Using patient-specific computed tomography (CT) data, a constant-diameter ureter model was reconstructed. Three constriction scenarios—UPJ, VUJ, and iliac artery compression—were developed and incorporated into this baseline model. CFD simulations were conducted in ANSYS CFX to evaluate flow patterns, pressure distribution, velocity profiles, and wall shear stress in both normal and constricted geometries. Results showed clear deviations in constricted models compared to the constant-diameter ureter, including localized upstream pressure increases and elevated flow velocities within narrowed regions. These findings provide quantitative insight into altered ureteral fluid dynamics and their role in conditions such as hydronephrosis and ureteral calculi. Overall, this study demonstrates the value of CFD in analyzing ureteral flow physiology and supports its potential for improving clinical diagnosis, prediction, and development of targeted therapeutic interventions for ureteral obstructions.

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Publication Details

Journal
Cogent Engineering
Published
2026-05-01
DOI
https://doi.org/10.1080/23311916.2026.2664954
Primary Topic
Kidney Stones and Urolithiasis Treatments
Type
article
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article

Computational fluid dynamics analysis of ureteral constrictions: Impact on flow dynamics and potential clinical implications

Mohammad Zuber, Laxmikant G. Keni, Masaki Tamagawa, B. Satish Shenoy et al.
Cogent Engineering
Kidney Stones and Urolithiasis Treatments
article

Computational fluid dynamics analysis of ureteral constrictions: Impact on flow dynamics and potential clinical implications

Mohammad Zuber, Laxmikant G. Keni, Masaki Tamagawa, B. Satish Shenoy, Aranya Darunee, Padmaraj Hegde, Chethan K N
article en

Abstract

This study investigated the effects of anatomical constrictions on ureteral flow dynamics using computational fluid dynamics (CFD). Constrictions such as those at the ureteropelvic junction (UPJ), vesicoureteral junction (VUJ), and external compression by the iliac artery are common clinical issues associated with significant morbidity. However, their impact on ureteral fluid flow remains insufficiently understood. Using patient-specific computed tomography (CT) data, a constant-diameter ureter model was reconstructed. Three constriction scenarios—UPJ, VUJ, and iliac artery compression—were developed and incorporated into this baseline model. CFD simulations were conducted in ANSYS CFX to evaluate flow patterns, pressure distribution, velocity profiles, and wall shear stress in both normal and constricted geometries. Results showed clear deviations in constricted models compared to the constant-diameter ureter, including localized upstream pressure increases and elevated flow velocities within narrowed regions. These findings provide quantitative insight into altered ureteral fluid dynamics and their role in conditions such as hydronephrosis and ureteral calculi. Overall, this study demonstrates the value of CFD in analyzing ureteral flow physiology and supports its potential for improving clinical diagnosis, prediction, and development of targeted therapeutic interventions for ureteral obstructions.

Cogent EngineeringVol. 13(1)
Manipal Academy of Higher Education (IN), Kyushu Institute of Technology (JP), King Mongkut's University of Technology Thonburi (TH), King Mongkut's University of Technology North Bangkok (TH)
Openalex Percentile: Top 10%
Kidney Stones and Urolithiasis Treatments
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Computational fluid dynamics analysis of ureteral constrictions: Impact on flow dynamics and potential clinical implications — Mohammad Zuber, Laxmikant G. Keni, et al. · Cogent Engineering (2026) | TGRS Research Map | TGRS