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Search: authors:"Muhammed Alshamari"

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Prediction of spontaneous ureteral stone passage: Automated 3D-measurements perform equal to radiologists, and linear measurements equal to volumetric

Alshamari 0 Mats Lidén 0 0 Department of Radiology, Faculty of Medicine and Health, Örebro University , Örebro , Sweden 1 Johan Jendeberg Objectives To compare the ability of different size estimates to

Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage

Objectives To determine how to most accurately predict the chance of spontaneous passage of a ureteral stone using information in the diagnostic non-enhanced computed tomography (NECT) and to create predictive models with smaller stone size intervals than previously possible. Methods Retrospectively 392 consecutive patients with ureteric stone on NECT were included. Three...