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Absolute Hounsfield unit measurement on noncontrast computed tomography cannot accurately predict struvite stone
Giovanni Scala Marchini1, Surafel Gebreselassie, Xiaobo Liu
1Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Cleveland, Ohio 44195, USA.
Single-energy noncontrast computed tomography (NCCT) can help identify struvite stones. Pure struvite stones show lower Hounsfield unit density (HUD) than mixed stones, but overlap exists, suggesting low HUD may indicate pure struvite composition.
Area of Science:
- Nephrology
- Radiology
- Urology
Background:
- Struvite stones are a common type of urinary calculus.
- Accurate preoperative identification of stone composition is crucial for effective treatment planning.
Purpose of the Study:
- To evaluate the efficacy of single-energy noncontrast computed tomography (NCCT) in predicting the presence and percentage of struvite stone composition in vivo.
- To determine if NCCT parameters can differentiate between pure and mixed struvite stones.
Main Methods:
- Retrospective analysis of patients with struvite components on stone analysis (January 2008-March 2012).
- Inclusion criteria: NCCT prior to stone analysis and stone size ≥4 mm.
- Urologist blinded to stone composition reviewed NCCT for stone location, dimensions, and Hounsfield units (HU); HU density (HUD) calculated. Statistical analysis included t-tests, ANOVA, and Spearman's correlation.
Main Results:
- Forty-four patients met inclusion criteria; struvite was the most prevalent component (mean 50.1%).
- No significant correlation found between struvite percentage and HU or HUD.
- Pure struvite stones (n=5) had significantly lower HUD than mixed struvite stones (n=39) (27.9±23.6 vs 72.5±55.9, p=0.006), despite significant overlap.
Conclusions:
- While overlap exists, a lower HUD on NCCT may suggest a higher likelihood of pure struvite stone composition.
- NCCT can provide valuable information for differentiating stone types, aiding in clinical decision-making.
- Further research may refine the role of CT imaging in predicting urinary stone composition.
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