Prediction models of low-power holmium laser effectiveness in renal stone lithotripsy during retrograde intrarenal surgery.

Abstract

The objectives of this study are to develop prediction models for total laser energy (TLE) in order to infer surgical time and assist operative planning of intrarenal low-power Ho:YAG laser lithotripsy, and to predict the fragmented volume as well as the stone-free status (SFS). A retrospective review was performed, comprising all single surgeon standardized retrograde intrarenal surgery and low-power Ho:YAG laser lithotripsy at a tertiary care centre between October 2014 and September 2019. Automated measurement of stone volume and stone density (MSD), measured in Hounsfield units (HU), was employed in both pre- and post-operative non-contrast-enhanced computed tomography (NCCT), using a standardized technique on Osirix Lite® software. SFS was defined as complete absence of stone fragments, or fragments < 0.1cm on meticulous inspection at the end of the procedure, and residual stone burden < 0.0005 cm3 on postoperative NCCT at 3months. Statistical analysis was performed using the STATA® version 13.1 software for regression models. A p value < .05 was considered statistically significant. A total of 100 patients met the inclusion criteria, requiring a median of 22.3kJ/cm3 (13.4-36.0) and resulting in a SFS of 41% at 3months. In a multivariate analysis, according to stone composition, predicted TLE is equal: for uric acid (UA), 11.17 × volume(cm3) + 0.17 × MSD(HU) + 7.48kJ; for mixed stones, 11.17 × volume(cm3) + 0.17 × MSD(HU) + 6.26kJ; for calcium oxalate monohydrate (CaOM) stones, 11.17 × volume(cm3) + 0.17 × MSD(HU) + 1.14kJ; and for calcium phosphate (CaPh) stones 11.17 × volume(cm3) + 0.17 × MSD(HU) - 1.94kJ. Predicted fragmented volume is equal to 0.93 × volume(cm3) cm3. The significant predictors for SFS were UA stones, the presence of multiple stones, and lower TLE. In clinical practice, our models for intrarenal low-power Ho:YAG laser lithotripsy indicate that larger, denser, and UA stones are associated to higher TLE, and that single and UA stones are more commonly associated to SFS. Since higher TLE means longer operative time, when adjusting for laser parameters, our prediction models may help urologists plan surgeries more precisely based on stone characteristics, ultimately optimizing patients' treatment.