Three-Dimensional Texture Analysis with Machine Learning Provides Incremental Predictive Information for Successful Shock Wave Lithotripsy in Patients with Kidney Stones
Author:
Affiliation:
1. Institute of Diagnostic and Interventional Radiology and Department of Urology (TH, CP, CDF), University Hospital Zurich, University of Zurich, Switzerland
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Urology
Reference27 articles.
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2. Shock wave lithotripsy outcomes for lower pole and non-lower pole stones from a university teaching hospital: parallel group comparison during the same time period;Geraghty;Urol Ann,2015
3. Extracorporeal shock wave lithotripsy versus flexible ureterorenoscopy in the treatment of untreated renal calculi;Fankhauser;Clin Kidney J,2018
4. Treatment efficacy and outcomes using a third generation shockwave lithotripter;Neisius;BJU Int,2013
5. Prediction of success rate after extracorporeal shock-wave lithotripsy of renal stones–a multivariate analysis model;Abdel-Khalek;Scand J Urol Nephrol,2004
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