Article ID Journal Published Year Pages File Type
10219380 The Journal of Urology 2018 26 Pages PDF
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.
Related Topics
Health Sciences Medicine and Dentistry Nephrology
Authors
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