Developing a preoperative predictive model for ureteral length for ureteral stent insertion.
Takashi KawaharaKentaro SakamakiHiroki ItoShinnosuke KurodaHideyuki TeraoKazuhide MakiyamaHiroji UemuraMasahiro YaoHiroshi MiyamotoJunichi MatsuzakiPublished in: BMC urology (2016)
We have developed a predictive model, for the first time, which predicts ureteral length using the following five preoperative characteristics: age, side, sex, IVU measurement, and CT calculation. This predictive model can be used to reliably predict ureteral length based on clinical and radiological factors and may thus be a useful tool to help determining the optimal length of ureteral stent.