Feng TS, Sharif-Afshar AR, Wu J, Li Q, Luthringer D, Saouaf R, et al. Multiparametric MRI improves accuracy of clinical nomograms for predicting extracapsular extension of prostate cancer. Urology. 2015;86:332–7.
Rayn KN, Bioom JB, Gold SA, Hale GR, Baiocco JA, Mehralivand S, et al. Added value of multiparametric magnetic resonance lmaging to clinical nomograms tor predicting adverse pathology in prostate cancer. J Urol. 2019;200:1041–7.
Gandaglia G, Ploussard G, Valerio M, Mattei A, Fiori C, Roumiguié M, et al. The key combined value of multiparametric magnetic resonance imaging, and magnetic resonance imaging–targeted and concomitant systematic biopsies for the prediction of adverse pathological features in prostate cancer patients undergoing radical prostatect. Eur Urol. 2020;77:733–41.
Martini A, Gupta A, Lewis SC, Cumarasamy S, Haines KG, Briganti A, 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;122:1025–33.
Nyarangi-Dix J, Wiesenfarth M, Bonekamp D, Hitthaler B, Schütz V, Dieffenbacher S, et al. Combined clinical parameters and multiparametric magnetic resonance imaging for the prediction of extraprostatic disease—a risk model for patient-tailored risk stratification when planning radical prostatectomy. Eur Urol Focus. 2020;6:1205–12.
Soeterik TFW, Van Melick HHE, Dijksman LM, Küsters-Vandevelde HVN, Stomps S, Schoots IG, et al. Development and external validation of a novel nomogram to predict side-specific extraprostatic extension in patients with prostate cancer undergoing radical prostatectomy. Eur Urol Oncol. 2020;S2588-9311.
Wibmer AG, Kattan MW, Alessandrino F, Baur ADJ, Boesen L, Franco FB, et al. International multi-site initiative to develop an mri-inclusive nomogram for side-specific prediction of extraprostatic extension of prostate cancer. Cancers. 2021;13:2627.
Bleeker SE, Moll HA, Steyerberg EW, Donders ART, Derksen-Lubsen G, Grobbee DE, et al. External validation is necessary in prediction research: A clinical example. J Clin Epidemiol. 2003;56:826–32.
Siontis GCM, Tzoulaki I, Castaldi PJ, Ioannidis JPA. External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination. J Clin Epidemiol 2015;68:25–34.
Soeterik TFW, van Melick HHE, Dijksman LM, Küsters-Vandevelde H, Stomps S, Schoots IG, et al. Development and external validation of a novel nomogram to predict side-specific extraprostatic extension in patients with prostate cancer undergoing radical prostatectomy. Eur Urol Oncol. 2022;5:328–37.
Diamand R, Roche JB, Lievore E, Lacetera V, Chiacchio G, Beatrici V, et al. External validation of models for prediction of side-specific extracapsular extension in prostate cancer patients undergoing radical prostatectomy. Eur Urol Focus. 2023;9:309–16.
Veerman H, Heymans MW, van der Poel HG. External validation of a prediction model for side-specific extraprostatic extension of prostate cancer at robot-assisted radical prostatectomy. Eur Urol Open Sci. 2022;37:50–52.
Blas L, Shiota M, Nagakawa S, Tsukahara S, Matsumoto T, Lee K, et al. Validation of user-friendly models predicting extracapsular extension in prostate cancer patients. Asian J Urol. 2023;10:81–88.
Soeterik TFW, van Melick HHE, Dijksman LM, Küsters-Vandevelde HVN, Biesma DH, Witjes JA, et al. External validation of the Martini nomogram for prediction of side-specific extraprostatic extension of prostate cancer in patients undergoing robot-assisted radical prostatectomy. Urologic Oncol: Semin Original Investig. 2020;38:372–8.
Baco E, Rud E, Vlatkovic L, Svindland A, Eggesbø HB, Hung AJ, et al. Predictive value of magnetic resonance imaging determined tumor contact length for extracapsular extension of prostate cancer. J Urol. 2015;193:466–72.
Eurboonyanun K, Pisuchpen N, O’Shea A, Lahoud RM, Atre ID, Harisinghani M. The absolute tumor-capsule contact length in the diagnosis of extraprostatic extension of prostate cancer. Abdom Radiol. 2021;46:4014–24.
Li W, Dong A, Hong G, Shang W, Shen X. Diagnostic performance of ESUR scoring system for extraprostatic prostate cancer extension: a meta-analysis. Eur J Radiol. 2021;143:109896.
Asfuroğlu U, Asfuroğlu BB, Özer H, Gönül İI, Tokgöz N, İnan MA, et al. Which one is better for predicting extraprostatic extension on multiparametric MRI: ESUR score, Likert scale, tumor contact length, or EPE grade? Eur J Radiol. 2022;149:110228.
Ahdoot M, Wilbur AR, Reese SE, Lebastchi AH, Mehralivand S, Gomella PT, et al. MRI-targeted, systematic, and combined biopsy for prostate cancer diagnosis. N Engl J Med 2020;382:917–28.
Padhani AR, Weinreb J, Rosenkrantz AB, Villeirs G, Turkbey B, Barentsz J. Prostate imaging-reporting and data system steering committee: PI-RADS v2 status update and future directions. Eur Urol. 2019;75:385–96.
Epstein JI, Egevad L, Amin MB, Delahunt B, Srigley JR, Humphrey PA. The 2014 international society of urological pathology (ISUP) consensus conference on gleason grading of prostatic carcinoma definition of grading patterns and proposal for a new grading system. Am J Surg Pathol. 2016;40:244–52.
Turkbey B, Rosenkrantz AB, Haider MA, Padhani AR, Villeirs G, Macura KJ, et al. Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2. Eur Urol. 2019;76:340–51.
Barentsz JO, Richenberg J, Clements R, Choyke P, Verma S, Villeirs G, et al. ESUR prostate MR guidelines 2012. Eur Radiol. 2012;22:746–57.
Collins GS, Reitsma JB, Altman DG, Moons KGM. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement. Eur Urol. 2015;67:1142–51.
Van Calster B, Wynants L, Verbeek JFM, Verbakel JY, Christodoulou E, Vickers AJ, et al. Reporting and interpreting decision curve analysis: a guide for investigators. Eur Urol. 2018;74:796–804.
Van Buuren S, Groothuis-Oudshoorn K. Multivariate imputation by chained equations in R. J Stat Softw 2011;45:1–67.
Hou Y, Zhang YH, Bao J, Bao ML, Yang G, Shi HB, et al. Artificial intelligence is a promising prospect for the detection of prostate cancer extracapsular extension with mpMRI: a two-center comparative study. Eur J Nucl Med Mol Imaging. 2021;48:3805–16.
Cuocolo R, Stanzione A, Faletti R, Gatti M, Calleris G, Fornari A, et al. MRI index lesion radiomics and machine learning for detection of extraprostatic extension of disease: a multicenter study. Eur Radiol. 2021;31:7575–83.
Solari EL, Gafita A, Schachoff S, Bogdanović B, Villagrán Asiares A, Amiel T, et al. The added value of PSMA PET/MR radiomics for prostate cancer staging. Eur J Nucl Med Mol Imaging. 2022;49:527–38.
Nguyen LN, Head L, Witiuk K, Punjani N, Mallick R, Cnossen S, et al. The risks and benefits of cavernous neurovascular bundle sparing during radical prostatectomy: a systematic review and meta-analysis. J Urol. 2017;198:760–9.
Soeterik TFW, van Melick HHE, Dijksman LM, Stomps S, Witjes JA, van Basten JPA. Nerve sparing during robot-assisted radical prostatectomy increases the risk of ipsilateral positive surgical margins. J Urol. 2020;204:91–95.
Heetman JG, Soeterik TFW, Wever L, Meyer AR, Nuininga JE, van Soest RJ, et al. A side-specific nomogram for extraprostatic extension may reduce the positive surgical margin rate in radical prostatectomy. World J Urol. 2022;40:2919–24.
Christophe C, Montagne S, Bourrelier S, Roupret M, Barret E, Rozet F, et al. Prostate cancer local staging using biparametric MRI: assessment and comparison with multiparametric MRI. Eur J Radiol. 2020;132:109350.