Timo Soeterik

116 CHAPTER 6 REFERENCES 1. Mottet N, Bellmunt J, Bolla M, et al. EAU- ESTRO-SIOG Guidelines on Prostate Cancer. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent. Eur Urol . 2017;71:618-629. 2. de Rooij M, Hamoen EHJ, Witjes JA, Barentsz JO, Rovers MM. Accuracy of Magnetic Resonance Imaging for Local Staging of Prostate Cancer: A Diagnostic Meta-analysis. Eur Urol . 2016;70:233-245. 3. Ohori M, Kattan MW, Koh H, et al. Predicting the presence and side of extracapsular extension: A nomogram for staging prostate cancer. J Urol . 2004;171:1844-1849. 4. Sayyid R, Perlis N, Ahmad A, et al. Development and external validation of a biopsy-derived nomogram to predict risk of ipsilateral extraprostatic extension. BJU Int . 2017;120:76-82. 5. Patel VR, Sandri M, Grasso AAC, et al. A novel tool for predicting extracapsular extension during graded partial nerve sparing in radical prostatectomy. BJU Int . 2018;121:373-382. 6. Ahmed HU, El-Shater Bosaily A, Brown LC, et al. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet . 2017;389:815-822 7. Kasivisvanathan V, Rannikko AS, Borghi M, et al. MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis. N Engl J Med . 2018:1767-1777. 8. van der Leest M, Cornel E, Israël B, et al. Head-to-head Comparison of Transrectal Ultrasound-guided Prostate Biopsy Versus Multiparametric Prostate Resonance Imaging with Subsequent Magnetic Resonance-guided Biopsy in Biopsy- naïve Men with Elevated Prostate-specific Antigen: A Large Prospective Mu. Eur Urol . 2019;75:570-578. 9. Wegelin O, Exterkate L, van der Leest M, et al. The FUTURE Trial: A Multicenter Randomised Controlled Trial on Target Biopsy Techniques Based on Magnetic Resonance Imaging in the Diagnosis of Prostate Cancer in Patients with Prior Negative Biopsies. Eur Urol . 2019;75:582-590. 10. Martini A, Gupta A, Lewis SC, et al. Development and internal validation of a side-specific, multiparametric magnetic resonance imaging-based nomogram for the prediction of extracapsular extension of prostate cancer. BJU Int . 2018;122:1025-1033. 11. Barentsz JO, Richenberg J, Clements R, et al. ESUR prostate MR guidelines 2012. Eur Radiol . 2012;22:746-757. 12. Weinreb JC, Barentsz JO, Choyke PL, et al. PI- RADS Prostate Imaging - Reporting and Data System: 2015, Version 2. EurUrol . 2016;69:16-40. 13. Fine SW, Amin MB, Berney DM, et al. A contemporary update on pathology reporting for prostate cancer: Biopsy and radical prostatectomy specimens. Eur Urol . 2012;62:20-39. 14. Moons KGM, Altman DG, Reitsma JB, et al. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): Explanation and elaboration. Ann InternMed . 2015;162:W1 -W73. 15. Steyerberg EW. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating . New York: Springer; 2009. 16. Vickers AJ, Van Calster B, Steyerberg EW. Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests. BMJ . 2016;352. 17. Van Calster B, Wynants L, Verbeek JFM, et al. Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators. Eur Urol . 2018;74(6):796-804. 18. Steyerberg EW, Vergouwe Y. Towards better clinical prediction models: Seven steps for development and an ABCD for validation. Eur Heart J . 2014;35:1925-1931.