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European Urology|February 16, 2015
Focal Ablation Targeted to the Index Lesion in Multifocal Localised Prostate Cancer: a Prospective Development StudyHashim U Ahmed, Louise Dickinson, Susan Charman, et al.European Radiology|October 1, 2020
Natural history of prostate cancer on active surveillance: stratification by MRI using the PRECISE recommendations in a UK cohortFrancesco Giganti, Armando Stabile, Vasilis Stavrinides, et al.BMJ Open|June 14, 2019
NeuroSAFE robot-assisted laparoscopic prostatectomy versus standard robot-assisted laparoscopic prostatectomy for men with localised prostate cancer (NeuroSAFE PROOF): protocol for a randomised controlled feasibility studyEoin Dinneen, Aiman Haider, Clare Allen, et al.European Urology|October 5, 2014
Focal therapy: patients, interventions, and outcomes--a report from a consensus meetingIan A Donaldson, Roberto Alonzi, Dean Barratt, et al.European Journal of Cancer (Oxford, England : 1990)|November 30, 2021
Lack of consensus identifies important areas for future clinical research: Advanced Prostate Cancer Consensus Conference (APCCC) 2019 findingsUrsula M Vogl, Tomasz M Beer, Ian D Davis, et al.JAMA Oncology|June 11, 2026
Prostate Imaging Standards for Screening Magnetic Resonance Imaging (PRISM): International Consensus RecommendationsNikhil Mayor, Alexander Light, Archana Gopalakrishnan, et al.Radiology|October 10, 2023
Global Variation in Magnetic Resonance Imaging Quality of the ProstateFrancesco Giganti, Alexander Ng, Aqua Asif, et al.The Lancet. Oncology|April 14, 2022
Addition of nintedanib or placebo to neoadjuvant gemcitabine and cisplatin in locally advanced muscle-invasive bladder cancer (NEOBLADE): a double-blind, randomised, phase 2 trialSyed A Hussain, Jason F Lester, Richard Jackson, et al.European Radiology|June 13, 2019
Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologistsMichela Antonelli, Edward W Johnston, Nikolaos Dikaios, et al.European Radiology|September 12, 2019
Correction to: Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologistsMichela Antonelli, Edward W Johnston, Nikolaos Dikaios, et al.Pageof 32