Development and external validation of nomograms to predict adverse pathological characteristics after robotic prostatectomy : results of a prospective, multi-institutional, nationwide series
- Author
- Lorenzo Tosco, Greet De Coster, Thierry Roumeguere, Wouter Everaerts, Thierry Quackels, Peter Dekuyper (UGent) , 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 (UGent) , Bart De Troyer, Nicolaas Lumen (UGent) , Filip Poelaert, Charles Van Praet (UGent) , 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
- 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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Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01GRTRJTC5CF26SM033XBM72QQ
- 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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