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Development and external validation of nomograms to predict adverse pathological characteristics after robotic prostatectomy : results of a prospective, multi-institutional, nationwide series

(2018) EUROPEAN UROLOGY ONCOLOGY. 1(4). p.338-345
Author
Organization
Abstract
Background: The possibility of predicting pathologic features before surgery can support clinicians in selecting the best treatment strategy for their patients. We sought to develop and externally validate pretreatment nomograms for the prediction of pathological features from a prospective multicentre series of robotic-assisted laparoscopic prostatectomy (RALP) procedures. Design, setting, and participants: Between 2009 and 2016, data from 6823 patients undergoing RALP in 25 academic and community hospitals were prospectively collected by the Belgian Cancer Registry. Logistic regression models were applied to predict extraprostatic extension (EPE; pT3a,b-4), seminal vesicle invasion (SVI; pT3b), and high-grade locally advanced disease (HGLA; pT3b-4 and Gleason score [GS] 8-10) using the following preoperative covariates: prostate-specific antigen, clinical T stage, biopsy GS, and percentage of positive biopsy cores. Internal and external validation was performed. Outcome measurements and statistical analysis: The stability of the model was assessed via tenfold cross-validation using 80% of the cohort. The nomograms were independently externally validated using the test cohort. The discriminative accuracy of the nomograms was quantified as the area under the receiver operating characteristic curve and graphically represented using calibration plots. Result and limitation: The nomograms predicting EPE, SVI, HGLA showed discriminative accuracy of 77%, 82%, and 88%, respectively. Following external validation, the accuracy remained stable. The prediction models showed excellent calibration properties. Conclusion:We developed and externally validated multi-institutional nomograms to predict pathologic features after RALP. These nomograms can be implemented in the clinical setting or patient selection in clinical trials. Patient summary: We developed novel nomograms using nationwide data to predict postoperative pathologic features and lethal prostate cancer. (C) 2018 Published by Elsevier B.V. on behalf of European Association of Urology.
Keywords
KATTAN PREOPERATIVE NOMOGRAM, SEMINAL-VESICLE INVASION, RADICAL, PROSTATECTOMY, CANCER RECURRENCE, CONTEMPORARY UPDATE, RISK, BIOPSY, PROBABILITY, COHORT, TOOL, Prostate cancer, Robotic surgery, Nomogram, Prediction, Validation

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MLA
Tosco, Lorenzo, et al. “Development and External Validation of Nomograms to Predict Adverse Pathological Characteristics after Robotic Prostatectomy : Results of a Prospective, Multi-Institutional, Nationwide Series.” EUROPEAN UROLOGY ONCOLOGY, vol. 1, no. 4, 2018, pp. 338–45, doi:10.1016/j.euo.2018.04.008.
APA
Tosco, L., De Coster, G., Roumeguere, T., Everaerts, W., Quackels, T., Dekuyper, P., … Lorge, F. (2018). Development and external validation of nomograms to predict adverse pathological characteristics after robotic prostatectomy : results of a prospective, multi-institutional, nationwide series. EUROPEAN UROLOGY ONCOLOGY, 1(4), 338–345. https://doi.org/10.1016/j.euo.2018.04.008
Chicago author-date
Tosco, Lorenzo, Greet De Coster, Thierry Roumeguere, Wouter Everaerts, Thierry Quackels, Peter Dekuyper, Ben Van Cleynenbreugel, et al. 2018. “Development and External Validation of Nomograms to Predict Adverse Pathological Characteristics after Robotic Prostatectomy : Results of a Prospective, Multi-Institutional, Nationwide Series.” EUROPEAN UROLOGY ONCOLOGY 1 (4): 338–45. https://doi.org/10.1016/j.euo.2018.04.008.
Chicago author-date (all authors)
Tosco, Lorenzo, Greet De Coster, Thierry Roumeguere, Wouter Everaerts, Thierry Quackels, Peter Dekuyper, Ben Van Cleynenbreugel, Nancy Van Damme, Elizabeth Van Eycken, Filip Ameye, Steven Joniau, Marc Claessens, Klaus Robert Hente, Thomas Adams, Guido Boeckx, Hendrik Vandeursen, Eric Vergauwe, Gustaaf Witters, Christophe Assenmacher, Jan Benijts, Andre Corbusier, Roland van Velthoven, Karim Entezari, Geert Martens, Marc Vanden Bossche, Jozef Ampe, Christophe Ghysel, Wim Van Haute, Peter Van Oyen, Bjorn Verlinde, Ludo Vandenbussche, Ignace Billiet, Karl Lesage, Patrick Werbrouck, Wouter Marchand, Hans Van Der Eecken, Jean-Louis Vanhoucke, Jochen Darras, Karel Decaestecker, Bart De Troyer, Nicolaas Lumen, Filip Poelaert, Charles Van Praet, Luc Merckx, Nico De Graeve, Anthony Van Baelen, Jean-Marie de Meyer, Guido Van Holderbeke, Caroline Verbaeys, Charlotte Peeters, Patrick Schoonooghe, Marc Stragier, Kris Maes, Dieter Ost, Kathy Vander Eeckt, Frederick Peeren, Bernard Rappe, Alex Mottrie, Peter Schatteman, Geert De Naeyer, Michel Naudin, Hubert Nicolas, and Francis Lorge. 2018. “Development and External Validation of Nomograms to Predict Adverse Pathological Characteristics after Robotic Prostatectomy : Results of a Prospective, Multi-Institutional, Nationwide Series.” EUROPEAN UROLOGY ONCOLOGY 1 (4): 338–345. doi:10.1016/j.euo.2018.04.008.
Vancouver
1.
Tosco L, De Coster G, Roumeguere T, Everaerts W, Quackels T, Dekuyper P, et al. Development and external validation of nomograms to predict adverse pathological characteristics after robotic prostatectomy : results of a prospective, multi-institutional, nationwide series. EUROPEAN UROLOGY ONCOLOGY. 2018;1(4):338–45.
IEEE
[1]
L. Tosco et al., “Development and external validation of nomograms to predict adverse pathological characteristics after robotic prostatectomy : results of a prospective, multi-institutional, nationwide series,” EUROPEAN UROLOGY ONCOLOGY, vol. 1, no. 4, pp. 338–345, 2018.
@article{01GRTRJTC5CF26SM033XBM72QQ,
  abstract     = {{Background: The possibility of predicting pathologic features before surgery can support clinicians in selecting the best treatment strategy for their patients. We sought to develop and externally validate pretreatment nomograms for the prediction of pathological features from a prospective multicentre series of robotic-assisted laparoscopic prostatectomy (RALP) procedures.

Design, setting, and participants: Between 2009 and 2016, data from 6823 patients undergoing RALP in 25 academic and community hospitals were prospectively collected by the Belgian Cancer Registry. Logistic regression models were applied to predict extraprostatic extension (EPE; pT3a,b-4), seminal vesicle invasion (SVI; pT3b), and high-grade locally advanced disease (HGLA; pT3b-4 and Gleason score [GS] 8-10) using the following preoperative covariates: prostate-specific antigen, clinical T stage, biopsy GS, and percentage of positive biopsy cores. Internal and external validation was performed.

Outcome measurements and statistical analysis: The stability of the model was assessed via tenfold cross-validation using 80% of the cohort. The nomograms were independently externally validated using the test cohort. The discriminative accuracy of the nomograms was quantified as the area under the receiver operating characteristic curve and graphically represented using calibration plots.

Result and limitation: The nomograms predicting EPE, SVI, HGLA showed discriminative accuracy of 77%, 82%, and 88%, respectively. Following external validation, the accuracy remained stable. The prediction models showed excellent calibration properties.

Conclusion:We developed and externally validated multi-institutional nomograms to predict pathologic features after RALP. These nomograms can be implemented in the clinical setting or patient selection in clinical trials.

Patient summary: We developed novel nomograms using nationwide data to predict postoperative pathologic features and lethal prostate cancer. (C) 2018 Published by Elsevier B.V. on behalf of European Association of Urology.}},
  author       = {{Tosco, Lorenzo and  De Coster, Greet and  Roumeguere, Thierry and  Everaerts, Wouter and  Quackels, Thierry and Dekuyper, Peter and  Van Cleynenbreugel, Ben and  Van Damme, Nancy and  Van Eycken, Elizabeth and Ameye, Filip and  Joniau, Steven and  Claessens, Marc and  Hente, Klaus Robert and  Adams, Thomas and  Boeckx, Guido and  Vandeursen, Hendrik and  Vergauwe, Eric and  Witters, Gustaaf and  Assenmacher, Christophe and  Benijts, Jan and  Corbusier, Andre and  van Velthoven, Roland and  Entezari, Karim and  Martens, Geert and  Vanden Bossche, Marc and  Ampe, Jozef and  Ghysel, Christophe and  Van Haute, Wim and  Van Oyen, Peter and  Verlinde, Bjorn and  Vandenbussche, Ludo and  Billiet, Ignace and  Lesage, Karl and  Werbrouck, Patrick and  Marchand, Wouter and  Van Der Eecken, Hans and  Vanhoucke, Jean-Louis and  Darras, Jochen and Decaestecker, Karel and  De Troyer, Bart and Lumen, Nicolaas and Poelaert, Filip and Van Praet, Charles and  Merckx, Luc and  De Graeve, Nico and  Van Baelen, Anthony and  de Meyer, Jean-Marie and  Van Holderbeke, Guido and  Verbaeys, Caroline and  Peeters, Charlotte and  Schoonooghe, Patrick and  Stragier, Marc and  Maes, Kris and  Ost, Dieter and  Vander Eeckt, Kathy and  Peeren, Frederick and  Rappe, Bernard and  Mottrie, Alex and  Schatteman, Peter and  De Naeyer, Geert and  Naudin, Michel and  Nicolas, Hubert and  Lorge, Francis}},
  issn         = {{2588-9311}},
  journal      = {{EUROPEAN UROLOGY ONCOLOGY}},
  keywords     = {{KATTAN PREOPERATIVE NOMOGRAM,SEMINAL-VESICLE INVASION,RADICAL,PROSTATECTOMY,CANCER RECURRENCE,CONTEMPORARY UPDATE,RISK,BIOPSY,PROBABILITY,COHORT,TOOL,Prostate cancer,Robotic surgery,Nomogram,Prediction,Validation}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{338--345}},
  title        = {{Development and external validation of nomograms to predict adverse pathological characteristics after robotic prostatectomy : results of a prospective, multi-institutional, nationwide series}},
  url          = {{http://doi.org/10.1016/j.euo.2018.04.008}},
  volume       = {{1}},
  year         = {{2018}},
}

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