Investigating the flow dynamics in the obstructed and stented ureter by means of a biomimetic artificial model.

Francesco Clavica, Xuefeng Zhao, Motaz M Elmahdy, Xunli Zhang, Marcus Drake, Dario Carugo

Research output: Contribution to journalArticle (Academic Journal)

21 Citations (Scopus)
422 Downloads (Pure)

Abstract

Double-J stenting is the most common clinical method employed to restore the upper urinary tract drainage, in the presence of a ureteric obstruction. After implant, stents provide an immediate pain relief by decreasing the pressure in the renal pelvis (P). However, their long-term usage can cause infections and encrustations, due to bacterial colonization and crystal deposition on the stent surface, respectively. The performance of double-J stents - and in general of all ureteric stents - is thought to depend significantly on urine flow field within the stented ureter. However very little fundamental research about the role played by fluid dynamic parameters on stent functionality has been conducted so far. These parameters are often difficult to assess in-vivo, requiring the implementation of laborious and expensive experimental protocols. The aim of the present work was therefore to develop an artificial model of the ureter (i.e. ureter model, UM) to mimic the fluid dynamic environment in a stented ureter. The UM was designed to reflect the geometry of pig ureters, and to investigate the values of fluid dynamic viscosity (μ), volumetric flow rate (Q) and severity of ureteric obstruction (OB%) which may cause critical pressures in the renal pelvis. The distributed obstruction derived by the sole stent insertion was also quantified. In addition, flow visualisation experiments and computational simulations were performed in order to further characterise the flow field in the UM. Unique characteristics of the flow dynamics in the obstructed and stented ureter have been revealed with using the developed UM.
Original languageEnglish
Article numbere87433
Number of pages12
JournalPLoS ONE
Volume9
Issue number2
DOIs
Publication statusPublished - 3 Feb 2014

Structured keywords

  • Centre for Surgical Research

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