Abstract
and past history of ureteral stone. The association with CT parameters of stone including diameter (D), length (H), volumetric stone burden (VSB; D H 5 / 6), estimated stone location (ESL; number of axial cut images between stone and UVJ), tissue rim sign (RS; 0-3), perinephric edema (0-3), hydronephrosis (0-3), and Hounsfield unit (HU) were also analyzed. Then a logistic regression model was developed using these variables to estimate the stone-free rate after URSL. RESULTS: The stone-free rate of URSL was 85.7% (203/237). Univariate analysis found that stone diameter, length, VSB, ESL, HU and RS significantly affect the stone-free rate (p 0.000, 0.000, 0.003, 0.000, 0.005, 0.000, respectively). Multivariate analysis indicated that stone diameter (HR 1.165, p 0.005), ESL (HR 1.074, p 0.001), and RS (HR 4.635, p 0.009) significantly affect the stone-free rate. Predictive model by logistic regression analysis for stone-free rate after URSL was defined as follows: stone free rate 1/[1 exp{6.146 0.153(D) 0.071(ESL) 1.534(RS)}] with AUC 0.825 from ROC curve. Internal validation showed that stone-free rate concordance was 0.774. CONCLUSIONS: Present study demonstrated that CT-measured parameters including stone diameter, ESL and RS are independent factors affecting URSL outcome. A CT-based predictive model using these factors helps to estimate stone-free rate after URSL in individual patients and facilitates treatment planning.
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