Cannabis Sativa

Authors
Giorgio Gandaglia, Guillaume Ploussard, Massimo Valerio, Agostino Mattei, Cristian Fiori, Nicola Fossati, Armando Stabile, Jean-Baptiste Beauval, Bernard Malavaud, Mathieu Roumiguié, Daniele Robesti, Paolo Dell’Oglio, Marco Moschini, Stefania Zamboni, Arnas Rakauskas, Francesco De Cobelli, Francesco Porpiglia, Francesco Montorsi, Alberto Briganti
Publication date
2019/3/1
Journal
European urology
Volume
75
Issue
3
Pages
506-514
Publisher
Elsevier
Description
Background
Available models for predicting lymph node invasion (LNI) in prostate cancer (PCa) patients undergoing radical prostatectomy (RP) might not be applicable to men diagnosed via magnetic resonance imaging (MRI)-targeted biopsies.
Objective
To assess the accuracy of available tools to predict LNI and to develop a novel model for men diagnosed via MRI-targeted biopsies.
Design, setting, and participants
A total of 497 patients diagnosed via MRI-targeted biopsies and treated with RP and extended pelvic lymph node dissection (ePLND) at five institutions were retrospectively identified.
Outcome measurements and statistical analyses
Three available models predicting LNI were evaluated using the area under the receiver operating characteristic curve (AUC), calibration plots, and decision curve analyses. A nomogram predicting LNI was developed and internally validated.
Results and limitations
Overall …
Total citations
20182019202020212022202320241133446665236

Leave a Reply