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Cancer|December 12, 2003
Prognostic significance of Gleason pattern in patients with Gleason score 7 prostate carcinomaKris K Rasiah, Phillip D Stricker, Anne-Maree Haynes, et al.
BJU International|October 14, 2011
High Gleason grade carcinoma at a positive surgical margin predicts biochemical failure after radical prostatectomy and may guide adjuvant radiotherapyRichard Savdie, Lisa G Horvath, Ruth Pe Benito, et al.
Plos One|September 1, 2018
Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findingsGregory Penzias, Asha Singanamalli, Robin Elliott, et al.
The Prostate|November 15, 2017
Altered mitochondrial genome content signals worse pathology and prognosis in prostate cancerAnton M F Kalsbeek, Eva K F Chan, Judith Grogan, et al.
Cancers|August 13, 2020
Combination of Peri-Tumoral and Intra-Tumoral Radiomic Features on Bi-Parametric MRI Accurately Stratifies Prostate Cancer Risk: A Multi-Site StudyAhmad Algohary, Rakesh Shiradkar, Shivani Pahwa, et al.
Aging|October 6, 2016
Mutational load of the mitochondrial genome predicts pathological features and biochemical recurrence in prostate cancerAnton M F Kalsbeek, Eva F K Chan, Judith Grogan, et al.
BJU International|February 17, 2017
A multiparametric magnetic resonance imaging-based risk model to determine the risk of significant prostate cancer prior to biopsyPim J van Leeuwen, Andrew Hayen, James E Thompson, et al.
The Journal of Urology|August 10, 2022
Final Analysis of the Magnetic Resonance Imaging in Active Surveillance TrialPaul Doan, Matthijs J Scheltema, Amer Amin, et al.
BJU International|December 1, 2012
High-dose rate brachytherapy compared with open radical prostatectomy for the treatment of high-risk prostate cancer: 10 year biochemical freedom from relapseRichard Savdie, James Symons, Daniel Spernat, et al.
BJU International|December 10, 2022
Salvage irreversible electroporation for radio-recurrent prostate cancer - the prospective FIRE trialAlexandar Blazevski, Bart Geboers, Matthijs J Scheltema, et al.
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