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Preoperative multiparametric MRI of the prostate for the prediction of lymph node metastases in prostate cancer patients treated with extended pelvic lymph node dissection
by
Brunetti, Lisa
, Damascelli, Anna
, Briganti, Alberto
, Esposito, Antonio
, Montorsi, Francesco
, Paolo Dell’Oglio
, Stabile, Armando
, Cristel, Giulia
, Freschi, Massimo
, Brembilla, Giorgio
, De Cobelli, Francesco
, Alessandro Del Maschio
, Ambrosi, Alessandro
in
Biopsy
/ Cancer
/ Cancer surgery
/ Dissection
/ Lymph
/ Lymph nodes
/ Lymphatic system
/ Magnetic resonance imaging
/ Metastases
/ Metastasis
/ Patients
/ Predictions
/ Prostate cancer
/ Prostatectomy
/ Regression analysis
/ Tumors
/ Urological surgery
2018
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Preoperative multiparametric MRI of the prostate for the prediction of lymph node metastases in prostate cancer patients treated with extended pelvic lymph node dissection
by
Brunetti, Lisa
, Damascelli, Anna
, Briganti, Alberto
, Esposito, Antonio
, Montorsi, Francesco
, Paolo Dell’Oglio
, Stabile, Armando
, Cristel, Giulia
, Freschi, Massimo
, Brembilla, Giorgio
, De Cobelli, Francesco
, Alessandro Del Maschio
, Ambrosi, Alessandro
in
Biopsy
/ Cancer
/ Cancer surgery
/ Dissection
/ Lymph
/ Lymph nodes
/ Lymphatic system
/ Magnetic resonance imaging
/ Metastases
/ Metastasis
/ Patients
/ Predictions
/ Prostate cancer
/ Prostatectomy
/ Regression analysis
/ Tumors
/ Urological surgery
2018
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Preoperative multiparametric MRI of the prostate for the prediction of lymph node metastases in prostate cancer patients treated with extended pelvic lymph node dissection
by
Brunetti, Lisa
, Damascelli, Anna
, Briganti, Alberto
, Esposito, Antonio
, Montorsi, Francesco
, Paolo Dell’Oglio
, Stabile, Armando
, Cristel, Giulia
, Freschi, Massimo
, Brembilla, Giorgio
, De Cobelli, Francesco
, Alessandro Del Maschio
, Ambrosi, Alessandro
in
Biopsy
/ Cancer
/ Cancer surgery
/ Dissection
/ Lymph
/ Lymph nodes
/ Lymphatic system
/ Magnetic resonance imaging
/ Metastases
/ Metastasis
/ Patients
/ Predictions
/ Prostate cancer
/ Prostatectomy
/ Regression analysis
/ Tumors
/ Urological surgery
2018
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Preoperative multiparametric MRI of the prostate for the prediction of lymph node metastases in prostate cancer patients treated with extended pelvic lymph node dissection
Journal Article
Preoperative multiparametric MRI of the prostate for the prediction of lymph node metastases in prostate cancer patients treated with extended pelvic lymph node dissection
2018
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Overview
ObjectivesTo 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).MethodsWe 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.ResultsNodal 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%).ConclusionPreoperative mpMRI of the prostate can predict nodal metastases in prostate cancer patients, potentially allowing a better selection of candidates to ePLND.Key points• 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
Publisher
Springer Nature B.V
Subject
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