ABSTRACT
The clinical data of 120 patients admitted to our hospital with renal stones treated by flexible ureteroscopy (FURS) and the imaging-related data measured by virtual reality technology were retrospectively analysed. The results of the univariate analysis showed that stone surface area (S), renal pelvis volume (P), length of calyces funnel (L), pelvic calyceal height (H) and essence of stone (E) were closely related to stone-free rate. The H. L.P.E.S. score was constructed to predict stone-free rate after FURS based on the above factors, and the area under the receiver aperating characteristic curve for the H. L.P.E.S. and S. O.L.V.E. scoring systems was 0.921 and 0.754 respectively.The H. L.P.E.S. scoring system has higher predictive value.