Does the Hounsfield unit value determined by computed tomography predict the outcome of percutaneous nephrolithotomy?

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In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
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In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses

Published on: March 30, 2015

Adnan Gücük1, Uğur Uyetürk, Ufuk Oztürk

  • 1Department of Urology, Abant Izzet Baysal University Faculty of Medicine, Bolu, Turkey. gucukadnan@hotmail.com

Journal of Endourology
|December 29, 2011
PubMed

Insights

Hounsfield unit (HU) values, stone size, and opacity independently predict percutaneous nephrolithotomy (PCNL) success. Higher HU values correlate with better PCNL outcomes, aiding treatment selection for kidney stones.

Area of Science:

  • Nephrology
  • Urology
  • Radiology

Background:

  • Percutaneous nephrolithotomy (PCNL) is a common procedure for kidney stone removal.
  • Predicting PCNL outcomes is crucial for patient management and treatment planning.

Purpose of the Study:

  • To evaluate if Hounsfield unit (HU) values from unenhanced CT scans can predict the outcome of PCNL.
  • To identify key parameters influencing PCNL success rates.

Main Methods:

  • Retrospective analysis of 179 patients who underwent PCNL.
  • Data collected included patient demographics, stone characteristics (size, HU value, opacity, location), and complications.
  • Logistic regression and receiver operating characteristic (ROC) analysis were used to determine predictors of failure.

Main Results:

  • Stone size, opacity, and HU values were independent predictors of PCNL failure (P<0.05).
  • A HU cutoff of 677.5 was identified; lower HU values increased failure risk (OR 2.65).
  • Staghorn location (OR 5.68), larger stone size (≥485 mm², OR 1.9), and non-opaque stones (OR 6.04) also predicted failure.

Conclusions:

  • HU values, alongside stone size and location, are significant predictors of PCNL outcomes.
  • PCNL is more effective for stones with higher HU values.
  • HU values can assist in selecting the optimal treatment modality for renal stones.
Abstract

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