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Role of computed tomography morphodensitometry in predicting the outcome of shock wave lithotripsy

Objectives: The objective of this study was to predict the outcome of shock wave lithotripsy (SWL) on the basis of computed tomography (CT) morphodensitometry for ureteral and renal stones. We also assessed the possibility that Hounsfield unit (HU) values and the location of the stones could be used...

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Bibliographic Details
Published in:Journal of clinical urology 2018-09, Vol.11 (5), p.325-330
Main Authors: Rathee, Vazir Singh, HC, Vivek, Khan, Sartaj Wali, Singh, AK, Shukla, Pushpendra Kumar, Verma, Ashish, Trivedi, Sameer, Dwivedi, Udai Shankar
Format: Article
Language:English
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Summary:Objectives: The objective of this study was to predict the outcome of shock wave lithotripsy (SWL) on the basis of computed tomography (CT) morphodensitometry for ureteral and renal stones. We also assessed the possibility that Hounsfield unit (HU) values and the location of the stones could be used to predict the outcome of SWL. Material and methods: A prospective study was performed to measure stone size, location, composition, surface area, surface volume, stone burden, the skin-to-stone distance and the HU for solitary renal and ureteral stones by non-contrast CT studies (NCCT) from August 2013 to September 2015. Success of SWL was defined as: (1) being stone-free or (2) residual stone fragments < 4 mm by radiography/NCCT. Results: Of the 100 assessed patients, 68 patients (68%) were stone-free, 12 (12%) had residual stone fragments < 4 mm (clinically insignificant residual fragments) and 20 (20%) had residual stone fragments ≥ 4 mm/ancillary procedures. Multivariate analysis revealed that stone location and mean HU were significant predictors of SWL success. Receiver operating characteristic curves defined cut-off values for predicting treatment outcome. Treatment success rates were significantly higher for stones < 800 HU than with stones > 800 HU (p = 0.160). Conclusion: Evaluation of stone HU values and stone location prior to SWL can predict treatment outcome and aid in the development of treatment strategies. Level of evidence 2 & 4
ISSN:2051-4158
2051-4158
2051-4166
DOI:10.1177/2051415818764539