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Urologic Oncology|August 8, 2017
Creation and internal validation of a biopsy avoidance prediction tool to aid in the choice of diagnostic approach in patients with prostate cancer suspicionBimal Bhindi, Haiyan Jiang, Cedric Poyet, et al.International Journal of Radiation Oncology, Biology, Physics|January 10, 2019
A Phase 1 Pilot Study of Preoperative Radiation Therapy for Prostate Cancer: Long-Term Toxicity and Oncologic OutcomesRachel Glicksman, Noelia Sanmamed, John Thoms, et al.European Urology|June 21, 2002
Computerised assessment of maximum urinary flow: an efficient, consistent and valid approachWim P J Witjes, Jean J M C H de la Rosette, Annelise van den Berg-Segers, et al.Canadian Urological Association Journal = Journal De L'Association Des Urologues Du Canada|August 6, 2013
Oncologic outcomes following radical prostatectomy in the active surveillance eraAlyssa S Louis, Robin Kalnin, Manjula Maganti, et al.NPJ Digital Medicine|April 18, 2024
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AIJethro C C Kwong, Jeremy Wu, Shamir Malik, et al.BJU International|December 17, 2009
Pathological stage review is indicated in primary pT1 bladder cancerBas W G van Rhijn, Theo H van der Kwast, David M Kakiashvili, et al.Urology|March 27, 2016
Influence of Metabolic Syndrome on Prostate Cancer Stage, Grade, and Overall Recurrence Risk in Men Undergoing Radical ProstatectomyBimal Bhindi, Wen Y Xie, Girish S Kulkarni, et al.BJU International|August 20, 2011
Sex differences in bladder cancer outcomes among smokers with advanced bladder cancerPeter J Boström, Sultan Alkhateeb, Greg Trottier, et al.British Journal of Cancer|December 15, 2015
Identification of the best complete blood count-based predictors for bladder cancer outcomes in patients undergoing radical cystectomyBimal Bhindi, Thomas Hermanns, Yanliang Wei, et al.Journal of the American Medical Informatics Association : JAMIA|August 6, 2011
Point-of-care clinical documentation: assessment of a bladder cancer informatics tool (eCancerCareBladder): a randomized controlled study of efficacy, efficiency and user friendliness compared with standard electronic medical recordsPeter J Bostrom, Paul J Toren, Hao Xi, et al.Pageof 17