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High surgeon volume and positive surgical margins can predict the risk of biochemical recurrence after robot-assisted radical prostatectomy

BACKGROUND: The aim of this study was to determine whether any clinical factors are independent predictors of positive surgical margins (PSM), and to assess the association of PSM and biochemical recurrence (BR) after robot-assisted radical prostatectomy (RARP). METHODS: The population included case...

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Autores principales: Porcaro, Antonio Benito, Tafuri, Alessandro, Sebben, Marco, Amigoni, Nelia, Processali, Tania, Pirozzi, Marco, Rizzetto, Riccardo, Shakir, Aliasger, Corsi, Paolo, Tiso, Leone, Cerrato, Clara, Migliorini, Filippo, Novella, Giovanni, Brunelli, Matteo, Bernasconi, Riccardo, De Marco, Vincenzo, Siracusano, Salvatore, Artibani, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6759701/
https://www.ncbi.nlm.nih.gov/pubmed/31579118
http://dx.doi.org/10.1177/1756287219878283
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author Porcaro, Antonio Benito
Tafuri, Alessandro
Sebben, Marco
Amigoni, Nelia
Processali, Tania
Pirozzi, Marco
Rizzetto, Riccardo
Shakir, Aliasger
Corsi, Paolo
Tiso, Leone
Cerrato, Clara
Migliorini, Filippo
Novella, Giovanni
Brunelli, Matteo
Bernasconi, Riccardo
De Marco, Vincenzo
Siracusano, Salvatore
Artibani, Walter
author_facet Porcaro, Antonio Benito
Tafuri, Alessandro
Sebben, Marco
Amigoni, Nelia
Processali, Tania
Pirozzi, Marco
Rizzetto, Riccardo
Shakir, Aliasger
Corsi, Paolo
Tiso, Leone
Cerrato, Clara
Migliorini, Filippo
Novella, Giovanni
Brunelli, Matteo
Bernasconi, Riccardo
De Marco, Vincenzo
Siracusano, Salvatore
Artibani, Walter
author_sort Porcaro, Antonio Benito
collection PubMed
description BACKGROUND: The aim of this study was to determine whether any clinical factors are independent predictors of positive surgical margins (PSM), and to assess the association of PSM and biochemical recurrence (BR) after robot-assisted radical prostatectomy (RARP). METHODS: The population included cases with negative surgical margins (control group) and patients with PSM (study group). Tumor grade was evaluated according to the International Society of Urologic Pathology (ISUP) system. A logistic regression model assessed the independent association of factors with the risk of PSM. The risk of BR was assessed by Cox’s multivariate proportional hazards. RESULTS: A total of 732 consecutive patients were evaluated. Extend pelvic lymph node dissection (ePLND) was performed in 342 cases (46.7%). Overall, 192 cases (26.3%) had PSM. The risk of PSM was positively associated with the percentage of biopsy positive cores (BPC; odds ratio, OR = 1.012; p = 0.004), extracapsular extension (pT3a; OR=2.702; p < 0.0001), invasion of seminal vesicle (pT3b; OR = 2.889; p < 0.0001), but inversely with body mass index (OR = 0.936; p = 0.021), and high surgeon volume (OR = 0.607; p = 0.006). Independent clinical factors associated with the risk of BR were baseline prostate-specific antigen (PSA; hazard ratio, HR = 1.064; p = 0.004), BPC (HR = 1.015; p = 0.027), ISUP biopsy grade group (BGG) 2/3 (HR = 2.966; p = 0.003), and BGG 4/5 (HR = 3.122; p = 0.022). Pathologic factors associated with the risk of BR were ISUP group 4/5 (HR = 3.257; p = 0.001), pT3b (HR = 2.900; p = 0.003), and PSM (HR = 2.096; p = 0.045). CONCLUSIONS: In our cohort, features related to host, tumor, and surgeon volume are associated with the risk of PSM, which is also an independent parameter predicting BR after RARP. The surgical volume of the operating surgeon is an independent factor that decreases the risk of PSM, and, as such, the risk of BR.
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spelling pubmed-67597012019-10-02 High surgeon volume and positive surgical margins can predict the risk of biochemical recurrence after robot-assisted radical prostatectomy Porcaro, Antonio Benito Tafuri, Alessandro Sebben, Marco Amigoni, Nelia Processali, Tania Pirozzi, Marco Rizzetto, Riccardo Shakir, Aliasger Corsi, Paolo Tiso, Leone Cerrato, Clara Migliorini, Filippo Novella, Giovanni Brunelli, Matteo Bernasconi, Riccardo De Marco, Vincenzo Siracusano, Salvatore Artibani, Walter Ther Adv Urol Original Article BACKGROUND: The aim of this study was to determine whether any clinical factors are independent predictors of positive surgical margins (PSM), and to assess the association of PSM and biochemical recurrence (BR) after robot-assisted radical prostatectomy (RARP). METHODS: The population included cases with negative surgical margins (control group) and patients with PSM (study group). Tumor grade was evaluated according to the International Society of Urologic Pathology (ISUP) system. A logistic regression model assessed the independent association of factors with the risk of PSM. The risk of BR was assessed by Cox’s multivariate proportional hazards. RESULTS: A total of 732 consecutive patients were evaluated. Extend pelvic lymph node dissection (ePLND) was performed in 342 cases (46.7%). Overall, 192 cases (26.3%) had PSM. The risk of PSM was positively associated with the percentage of biopsy positive cores (BPC; odds ratio, OR = 1.012; p = 0.004), extracapsular extension (pT3a; OR=2.702; p < 0.0001), invasion of seminal vesicle (pT3b; OR = 2.889; p < 0.0001), but inversely with body mass index (OR = 0.936; p = 0.021), and high surgeon volume (OR = 0.607; p = 0.006). Independent clinical factors associated with the risk of BR were baseline prostate-specific antigen (PSA; hazard ratio, HR = 1.064; p = 0.004), BPC (HR = 1.015; p = 0.027), ISUP biopsy grade group (BGG) 2/3 (HR = 2.966; p = 0.003), and BGG 4/5 (HR = 3.122; p = 0.022). Pathologic factors associated with the risk of BR were ISUP group 4/5 (HR = 3.257; p = 0.001), pT3b (HR = 2.900; p = 0.003), and PSM (HR = 2.096; p = 0.045). CONCLUSIONS: In our cohort, features related to host, tumor, and surgeon volume are associated with the risk of PSM, which is also an independent parameter predicting BR after RARP. The surgical volume of the operating surgeon is an independent factor that decreases the risk of PSM, and, as such, the risk of BR. SAGE Publications 2019-09-24 /pmc/articles/PMC6759701/ /pubmed/31579118 http://dx.doi.org/10.1177/1756287219878283 Text en © The Author(s), 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Porcaro, Antonio Benito
Tafuri, Alessandro
Sebben, Marco
Amigoni, Nelia
Processali, Tania
Pirozzi, Marco
Rizzetto, Riccardo
Shakir, Aliasger
Corsi, Paolo
Tiso, Leone
Cerrato, Clara
Migliorini, Filippo
Novella, Giovanni
Brunelli, Matteo
Bernasconi, Riccardo
De Marco, Vincenzo
Siracusano, Salvatore
Artibani, Walter
High surgeon volume and positive surgical margins can predict the risk of biochemical recurrence after robot-assisted radical prostatectomy
title High surgeon volume and positive surgical margins can predict the risk of biochemical recurrence after robot-assisted radical prostatectomy
title_full High surgeon volume and positive surgical margins can predict the risk of biochemical recurrence after robot-assisted radical prostatectomy
title_fullStr High surgeon volume and positive surgical margins can predict the risk of biochemical recurrence after robot-assisted radical prostatectomy
title_full_unstemmed High surgeon volume and positive surgical margins can predict the risk of biochemical recurrence after robot-assisted radical prostatectomy
title_short High surgeon volume and positive surgical margins can predict the risk of biochemical recurrence after robot-assisted radical prostatectomy
title_sort high surgeon volume and positive surgical margins can predict the risk of biochemical recurrence after robot-assisted radical prostatectomy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6759701/
https://www.ncbi.nlm.nih.gov/pubmed/31579118
http://dx.doi.org/10.1177/1756287219878283
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