To assess the role of preoperative multiparametric MRI (mpMRI) of the prostate in the prediction of nodal metastases in patients treated with radical prostatectomy (RP) and extended pelvic lymph node dissection (ePLND).
We retrospectively analyzed 101 patients who underwent both preoperative mpMRI of the prostate and RP with ePLND at our institution. For each patient, complete preoperative clinical data and tumour characteristics at mpMRI were recorded. Final histopathologic stage was considered the standard of reference. Univariate and multivariate logistic regression analyses were performed.
Nodal metastases were found in 23/101 (22.8%) patients. At univariate analyses, all clinical and radiological parameters were significantly associated to nodal invasion (all p<0.03); tumour volume at MRI (mrV), tumour ADC and tumour T-stage at MRI (mrT) were the most accurate predictors (AUC = 0.93, 0.86 and 0.84, respectively). A multivariate model including PSA levels, primary Gleason grade, mrT and mrV showed high predictive accuracy (AUC = 0.956). Observed prevalence of nodal metastases was very low among tumours with mrT2 stage and mrV<1cc (1.8%).
Preoperative mpMRI of the prostate can predict nodal metastases in prostate cancer patients, potentially allowing a better selection of candidates to ePLND.
• Multiparametric-MRI of the prostate can predict nodal metastases in prostate cancer • Tumour volume and stage at MRI are the most accurate predictors • Prevalence of nodal metastases is low for T2-stage and <1cc tumours • Preoperative mpMRI may allow a better selection of candidates to lymphadenectomy.
European radiology. 2017 Dec 21 [Epub ahead of print]
Giorgio Brembilla, Paolo Dell'Oglio, Armando Stabile, Alessandro Ambrosi, Giulia Cristel, Lisa Brunetti, Anna Damascelli, Massimo Freschi, Antonio Esposito, Alberto Briganti, Francesco Montorsi, Alessandro Del Maschio, Francesco De Cobelli
Department of Radiology, Experimental Imaging Centre, IRCCS Ospedale San Raffaele, Milano, Italy. ., Università Vita-Salute San Raffaele, Via Olgettina 60, 20132, Milano, Italy., Department of Statistics, Vita-Salute San Raffaele University, Milan, Italy., Department of Radiology, Experimental Imaging Centre, IRCCS Ospedale San Raffaele, Milano, Italy., Department of Pathology, IRCCS Ospedale San Raffaele, Milano, Italy.