Risk prediction models for biochemical recurrence after radical prostatectomy using prostate-specific antigen and Gleason score

Risk prediction models for biochemical recurrence after radical prostatectomy using prostate-specific antigen and Gleason score

Many computer models for predicting the risk of prostate cancer have been developed including for prediction of biochemical recurrence (BCR). However, models for individual BCR free probability at individual time-points after a BCR free period are rare. Follow-up data from 1656 patients who underwen...

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Bibliographic Details
Main Authors: Xin-Hai Hu, Henning Cammann, Hellmuth-A Meyer, Klaus Jung, Hong-Biao Lu, Natalia Leva, Ahmed Magheli, Carsten Stephan, Jonas Busch
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2014-12-01
Series:Asian Journal of Andrology
Subjects:
artificial neural network; prostate cancer; recurrence
Online Access:http://www.ajandrology.com/article.asp?issn=1008-682X;year=2014;volume=16;issue=6;spage=897;epage=901;aulast=Hu

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