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S.T.O.N.E. nephrolithometry: novel surgical classification system for kidney calculi.
Zhamshid Okhunov1, Justin I Friedlander, Arvin K George
1Arthur Smith Institute for Urology, Hofstra North Shore-Long Island Jewish School of Medicine, New Hyde Park, NY 11042, USA.
A new scoring system, S.T.O.N.E. nephrolithometry, accurately predicts percutaneous nephrolithotomy outcomes. This tool helps estimate stone-free rates and complications, improving surgical planning for kidney stone removal.
Area of Science:
- Urology
- Nephrology
- Medical Imaging
Background:
- Current methods for predicting percutaneous nephrolithotomy (PCNL) outcomes are limited.
- There is a need for a validated, clinically useful scoring system for PCNL.
Purpose of the Study:
- To introduce a novel scoring system, S.T.O.N.E. nephrolithometry, for standardizing PCNL reporting.
- To assess the system's ability to predict stone-free rates and perioperative parameters in PCNL.
Main Methods:
- Developed the S.T.O.N.E. score using five preoperative CT variables: stone size (S), tract length (T), obstruction (O), number of involved calices (N), and stone density (E).
- Included 117 patients undergoing PCNL.
Main Results:
- The S.T.O.N.E. score correlated significantly with postoperative stone-free status (P=.001).
- Lower scores predicted successful stone removal (6.8 vs 9.7, P=.002).
- The score also correlated with estimated blood loss, operative time, and hospital stay (P=.001 for all).
Conclusions:
- The S.T.O.N.E. nephrolithometry system effectively predicts PCNL treatment success and complication risk.
- Standardized CT-derived parameters can enhance preoperative counseling, surgical planning, and outcome evaluation.
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