Evaluation of four pre‐operative models for prediction of biochemical recurrence after radical prostatectomy in localised prostate cancer
Author:
Affiliation:
1. Department of Urology School of Medicine Yıldırım Beyazıt University Ankara Turkey
2. Unye State Hospital Ordu Turkey
3. Department of Urology Fatih Sultan Mehmet Training and Research HospitalHealth Sciences University Istanbul Turkey
Publisher
Hindawi Limited
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijcp.14682
Reference19 articles.
1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries
2. Statistical Prediction Models, Artificial Neural Networks, and the Sophism “I Am a Patient, Not a Statistic”
3. Cancer Statistics, 2008
4. THE UNIVERSITY OF CALIFORNIA, SAN FRANCISCO CANCER OF THE PROSTATE RISK ASSESSMENT SCORE: A STRAIGHTFORWARD AND RELIABLE PREOPERATIVE PREDICTOR OF DISEASE RECURRENCE AFTER RADICAL PROSTATECTOMY
5. Prostate Risk Index (PRIX) as a New Method of Risk Classification for Clinically Localized Prostate Cancer
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3. Contrast-Enhanced Ultrasound-Magnetic Resonance Imaging Radiomics Based Model for Predicting the Biochemical Recurrence of Prostate Cancer: A Feasibility Study;Computational and Mathematical Methods in Medicine;2022-04-28
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