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Measuring kidney stone volume - practical considerations and current evidence from the EAU endourology section
Nico C Grossmann1,2, Frederic Panthier3, Luca Afferi4
1Department of Urology, University Hospital Southampton NHS Trust, Southampton, UK.
Current Opinion in Urology
|February 25, 2025
Summary
Accurately measuring kidney stone volume is crucial for predicting treatment outcomes. Advanced techniques like AI-powered volumetry offer superior precision over traditional methods for better patient management.
Area of Science:
- Nephrology
- Urology
- Radiology
Background:
- Accurate kidney stone assessment is vital for predicting treatment success and patient outcomes.
- Traditional linear measurements may not fully capture stone burden, especially for complex calculi.
Purpose of the Study:
- To review current methods for kidney stone volume assessment.
- To compare their clinical impact and accuracy.
Main Methods:
- Review of noncontrast computed tomography (NCCT) based volume measurement techniques.
- Comparison of formula-based, software segmentation, and artificial intelligence (AI) volumetry approaches.
Main Results:
- Formula-based volume estimation overestimates larger or irregular stones.
- Software segmentation and AI volumetry demonstrate improved accuracy, reproducibility, and reduced observer variability.
- Stone volume is a superior predictor of stone-related events, spontaneous passage, and treatment-free rates compared to linear measurements.
Conclusions:
- While manual measurement is practical, its accuracy is limited for complex stones.
- Software-based methods offer enhanced precision but require wider accessibility and standardization.
- AI-driven volumetry shows significant promise for routine clinical application in kidney stone management.
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