We turn a non-contrast CT into an interactive 3D model of the stone — measuring volumetric burden and mapping Hounsfield density layer by layer, so you can choose between SWL, RIRS, and PCNL on evidence, not estimation.
A maximum linear diameter is plane-dependent and the ellipsoid formula overstates irregular stones. We segment the stone in 3D and report its real volume — per stone, per kidney, and as a total burden that actually tracks operative time and stone-free rate.
Attenuation predicts fragmentation and hints at composition, but a single mean HU hides how density is distributed inside the stone. We render cumulative density bands as nested shells, so a hard, shockwave-resistant core is visible at a glance.
Burden, density, and location together drive the EAU treatment algorithm. A rotatable model shows stone, collecting system, and infundibular anatomy in one view — replacing mental reconstruction across axial slices.
The complete segmented stone volume.
Moderately dense fraction of the stone.
Harder inner volume, more resistant to shockwave.
The hardest core, where SWL fragmentation typically fails.
lifetime prevalence of urolithiasis, with recurrence in roughly half of patients within ten years.
stone attenuation is an independent predictor of lower SWL disintegration and stone-free rates.
segmented stone volume tracks operative burden far better than a single maximum diameter.
Based on the EAU Guidelines on Urolithiasis and peer-reviewed CT literature. Read the full explainer · EAU Guidelines on Urolithiasis