Preoperative multiparametric MRI of the prostate for the prediction of lymph node metastases in prostate cancer patients treated with extended pelvic lymph node dissection
- 1 May 2018
- journal article
- research article
- Published by Springer Science and Business Media LLC in European Radiology
- Vol. 28 (5), 1969-1976
- https://doi.org/10.1007/s00330-017-5229-6
Abstract
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. aEuro cent Multiparametric-MRI of the prostate can predict nodal metastases in prostate cancer aEuro cent Tumour volume and stage at MRI are the most accurate predictors aEuro cent Prevalence of nodal metastases is low for T2-stage and < 1cc tumours aEuro cent Preoperative mpMRI may allow a better selection of candidates to lymphadenectomy.Keywords
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