Marco Oderda1, Romain Diamand2, Simone Albisinni3, Giorgio Calleris1, Antonio Carbone4, Marco Falcone1, Gaelle Fiard5, Giorgio Gandaglia6, Alessandro Marquis1, Giancarlo Marra1,7, Cinzia Parola1, Antonio Pastore4, Alexandre Peltier2, Guillaume Ploussard8, Thierry Roumeguère3, Rafael Sanchez-Salas7, Giuseppe Simone9, Salvatore Smelzo10, John H Witt11, Paolo Gontero1. 1. Division of Urology, Città della Salute e della Scienza, Molinette Hospital, University of Turin, Torino, Italy. 2. Urology Department, Hôpital Erasme, University Clinics of Brussels, Université Libre de Bruxelles, Brussels, Belgium. 3. Urology Department, Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium. 4. Urology Unit, Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy. 5. Urology Department, CHU de Grenoble, Grenoble, France. 6. Unit of Urology/Department of Oncology, URI, IRCCS San Raffaele Hospital, Milan, Italy. 7. Department of Urology, Institut Mutualiste Montsouris, Université Paris Descartes, Paris, France. 8. Quint Fonsegrives and Institut Universitaire du Cancer, La Croix du Sud Hospital, Toulouse, France. 9. Urology Department, Regina Elena National Cancer Institute, Rome, Italy. 10. Urology Unit, San Raffaele Turro, Milan, Italy. 11. Department of Urology, St Antonius Hospital Gronau, Gronau, Germany.
Abstract
OBJECTIVES: To externally validate the currently available nomograms for predicting lymph node invasion (LNI) in patients with prostate cancer (PCa) and to assess the potential risk of complications of extended pelvic lymph node dissection (ePLND) when using the recommended threshold. METHODS: A total of 14 921 patients, who underwent radical prostatectomy with ePLND at eight European tertiary referral centres, were retrospectively identified. After exclusion of patients with incomplete biopsy or pathological data, 12 009 were included. Of these, 609 had undergone multiparametic magnetic resonance imaging-targeted biopsies. Among ePLND-related complications we included lymphocele, lymphoedema, haemorrhage, infection and sepsis. The performances of the Memorial Sloan Kettering Cancer Centre (MSKCC), Briganti 2012, Briganti 2017, Briganti 2019, Partin 2016 and Yale models were evaluated using receiver-operating characteristic curve analysis (area under the curve [AUC]), calibration plots, and decision-curve analysis. RESULTS: Overall, 1158 patients (9.6%) had LNI, with a mean of 17.7 and 3.2 resected and positive nodes, respectively. No significant differences in AUCs were observed between the MSKCC (0.79), Briganti 2012 (0.79), Partin 2016 (0.78), Yale (0.80), Briganti 2017 (0.81) and Briganti 2019 (0.76) models. A direct comparison of older models showed that better discrimination was achieved with the MSKCC and Briganti 2012 nomograms. A tendency for underestimation was seen for all the older models, whereas the Briganti 2017 and 2019 nomograms tended to overestimate LNI risk. Decision-curve analysis showed a net benefit for all models, with a lower net benefit for the Partin 2016 and Briganti 2019 models. ePLND-related complications were experienced by 1027 patients (8.9%), and 12.6% of patients with pN1 disease. CONCLUSIONS: The currently available nomograms have similar performances and limitations in the prediction of LNI. Miscalibration was present, however, for all nomograms showing a net benefit. In patients with only systematic biopsy, the MSKCC and Briganti 2012 nomograms were superior in the prediction of LNI.
OBJECTIVES: To externally validate the currently available nomograms for predicting lymph node invasion (LNI) in patients with prostate cancer (PCa) and to assess the potential risk of complications of extended pelvic lymph node dissection (ePLND) when using the recommended threshold. METHODS: A total of 14 921 patients, who underwent radical prostatectomy with ePLND at eight European tertiary referral centres, were retrospectively identified. After exclusion of patients with incomplete biopsy or pathological data, 12 009 were included. Of these, 609 had undergone multiparametic magnetic resonance imaging-targeted biopsies. Among ePLND-related complications we included lymphocele, lymphoedema, haemorrhage, infection and sepsis. The performances of the Memorial Sloan Kettering Cancer Centre (MSKCC), Briganti 2012, Briganti 2017, Briganti 2019, Partin 2016 and Yale models were evaluated using receiver-operating characteristic curve analysis (area under the curve [AUC]), calibration plots, and decision-curve analysis. RESULTS: Overall, 1158 patients (9.6%) had LNI, with a mean of 17.7 and 3.2 resected and positive nodes, respectively. No significant differences in AUCs were observed between the MSKCC (0.79), Briganti 2012 (0.79), Partin 2016 (0.78), Yale (0.80), Briganti 2017 (0.81) and Briganti 2019 (0.76) models. A direct comparison of older models showed that better discrimination was achieved with the MSKCC and Briganti 2012 nomograms. A tendency for underestimation was seen for all the older models, whereas the Briganti 2017 and 2019 nomograms tended to overestimate LNI risk. Decision-curve analysis showed a net benefit for all models, with a lower net benefit for the Partin 2016 and Briganti 2019 models. ePLND-related complications were experienced by 1027 patients (8.9%), and 12.6% of patients with pN1 disease. CONCLUSIONS: The currently available nomograms have similar performances and limitations in the prediction of LNI. Miscalibration was present, however, for all nomograms showing a net benefit. In patients with only systematic biopsy, the MSKCC and Briganti 2012 nomograms were superior in the prediction of LNI.
Authors: Nicola Frego; Marco Paciotti; Nicolò Maria Buffi; Davide Maffei; Roberto Contieri; Pier Paolo Avolio; Vittorio Fasulo; Alessandro Uleri; Massimo Lazzeri; Rodolfo Hurle; Alberto Saita; Giorgio Ferruccio Guazzoni; Paolo Casale; Giovanni Lughezzani Journal: Front Surg Date: 2022-02-25