Effect of CT Attenuation–Stratified Stone Volume on Treatment Outcomes of Shock Wave Lithotripsy for Ureteral Stones

Read the full article See related articles

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

Objectives: Recent advances in three-dimensional (3D) imaging enable precise evaluation of stone characteristics. We investigated predictors of shock wave lithotripsy (SWL) outcomes using CT attenuation–stratified stone volume. Methods: We retrospectively analyzed 313 patients who underwent SWL for ureteral stones between August 2020 and January 2025. Stone-related parameters were measured using 3D imaging software (SYNAPSE VINCENT®), stratifying each stone into seven CT attenuation categories (<1000 HU; 1000–1500 HU in 100-HU increments; ≥1500 HU). A derivation cohort of 259 patients treated with Piezolith® (August 2020–July 2023) determined optimal cutoff values, which were validated in 54 patients treated with Compact Sigma® (August 2023–January 2025). The primary endpoint was conversion to ureteroscopy (URS). Results : Overall, 274 patients (87.5%) achieved SWL success, while 39 (12.5%) required URS. In the validation cohort, predictors of conversion included maximum stone length ≥8.7 mm (OR 7.8, P = 0.02), maximum CT value ≥1487 HU (OR 5.3, P = 0.07), mean CT value ≥535 HU (OR 13.2, P = 0.008), total stone volume ≥152 mm³ (OR 13.2, P = 0.008), and volumes of stone components with CT attenuation ≥1000-1500 HU. Among these, the volume of components ≥1200 HU (21.5 mm³) demonstrated the highest predictive performance (OR 17.7, P = 0.002). Conclusions: CT attenuation–stratified stone volume, particularly components ≥1200 HU, is a strong predictor of SWL failure requiring conversion to URS. Incorporating attenuation-based volumetric analysis into pre-treatment evaluation may improve patient selection and optimize treatment strategy for ureteral stones.

Article activity feed