Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10219380 | The Journal of Urology | 2018 | 26 Pages |
Abstract
This preliminary study indicates that the clinical variables body mass index, initial stone size and skin to stone distance show limited value to predict shock wave lithotripsy success while stone HU values were not predictive. Select 3-dimensional texture analysis features identified by machine learning provided incremental accuracy to predict the success of shock wave lithotripsy.
Keywords
Related Topics
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Nephrology
Authors
Manoj Mannil, Jochen von Spiczak, Thomas Hermanns, Cédric Poyet, Hatem Alkadhi, Christian Daniel Fankhauser,