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Noncontrast computed tomography factors that predict the renal stone outcome after shock wave lithotripsy. | LitMetric

Noncontrast computed tomography factors that predict the renal stone outcome after shock wave lithotripsy.

Clin Imaging

Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Department of Urology, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung, Taiwan; Department of Urology, College of Medicine, Kaohsiung Medical University Kaohsiung, Taiwan; Graduate Institute of Medical Science, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan. Electronic address:

Published: April 2016

AI Article Synopsis

  • Extracorporeal shock wave lithotripsy (ESWL) is a common treatment for kidney stones, and this study aimed to identify factors that predict success rates after treatment using noncontrast abdominal CT scans.
  • A retrospective review of 145 patients who underwent ESWL between 2008 and 2010 was conducted, analyzing parameters like stone size, location, density, and fat distribution to determine their impact on achieving a stone-free status after one month.
  • The results indicated that stone size, density, skin-to-stone distance, and surface area were significant predictors of treatment success, while abdominal fat distribution did not significantly affect outcomes, highlighting the importance of these factors in treatment planning.

Article Abstract

Objectives: Extracorporeal shock wave lithotripsy (ESWL) is a popular treatment for nephrolithiasis. We took advantage of noncontrast abdominal computed tomography (NCCT) to search the possible prognostic factors including abdominal fat distribution influencing stone-free rate.

Methods: From August 2008 to August 2010, 145 patients who had renal calculus and had undergone ESWL were retrospectively reviewed. All of them received NCCT assessment before ESWL and were followed up after 1 month for stone clearance. These patients were divided into two groups: one was the stone-free group and the other was the residual-stone group. Affecting parameters included stone size, location, stone surface area, Hounsfield unit density (HU density), skin-to-stone distance (SSD), and abdominal fat area as analyzed between these two groups.

Results: Of 145 patients, 70 were stone-free and 75 had residual stone after ESWL treatment and 1-month follow-up. From univariate analysis, stone size, HU density, SSD, and stone surface area were significant predicting factors for ESWL success. On multivariate analysis, the important factors influencing ESWL outcomes were HU density and stone surface area (odds ratio 1.002 vs. 77.18, respectively; P<.05). Abdominal fat accumulation and distribution had no significant difference between these two groups.

Conclusion: This study revealed that stone size, HU density, SSD, and stone surface area were associated with stone-free rate after ESWL treatment. Therefore, these factors could be used to assess the feasibility of ESWL before deciding the treatment strategy. Abdominal fat distribution had no significant impact on ESWL outcome for renal stones.

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Source
http://dx.doi.org/10.1016/j.clinimag.2015.04.010DOI Listing

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