Prediction of locally advanced urothelial carcinoma of the bladder using clinical parameters before radical cystectomy: a prospective multicenter study
Introduction: We aimed at developing and validating a pre-cystectomy nomogram for the prediction of locally advanced urothelial carcinoma of the bladder (UCB) using clinicopathological parameters. Materials and Methods: Multicenter data from 337 patients who underwent radical cystectomy (RC) for UCB...
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| Hauptverfasser: | , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
January 2016
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| In: |
Urologia internationalis
Year: 2016, Jahrgang: 96, Heft: 1, Pages: 57-64 |
| ISSN: | 1423-0399 |
| DOI: | 10.1159/000433606 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1159/000433606 Verlag, Volltext: https://www-karger-com.ezproxy.medma.uni-heidelberg.de/Article/FullText/433606 
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| Verfasserangaben: | Thomas Martini, Atiqullah Aziz, Florian Roghmann, Michael Rink, Felix K. Chun, Margit Fisch, Lutz Trojan, Oliver W. Hakenberg, Stefan Zastrow, Manfred P. Wirth, Johannes Moersdorf, Sabine Brookman-May, Christian G. Stief, Axel Haferkamp, Florian Wagenlehner, Markus Hohenfellner, Edwin Herrmann, Lukas Lusuardi, Marc-Oliver Grimm, Stephan C. Müller, Jan Roigas, Patrick J. Bastian, Michael Gierth, Maximilian Burger, Armin Pycha, Christian Seitz, Matthias May, Christian Bolenz |
MARC
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| 245 | 1 | 0 | |a Prediction of locally advanced urothelial carcinoma of the bladder using clinical parameters before radical cystectomy |b a prospective multicenter study |c Thomas Martini, Atiqullah Aziz, Florian Roghmann, Michael Rink, Felix K. Chun, Margit Fisch, Lutz Trojan, Oliver W. Hakenberg, Stefan Zastrow, Manfred P. Wirth, Johannes Moersdorf, Sabine Brookman-May, Christian G. Stief, Axel Haferkamp, Florian Wagenlehner, Markus Hohenfellner, Edwin Herrmann, Lukas Lusuardi, Marc-Oliver Grimm, Stephan C. Müller, Jan Roigas, Patrick J. Bastian, Michael Gierth, Maximilian Burger, Armin Pycha, Christian Seitz, Matthias May, Christian Bolenz |
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| 520 | |a Introduction: We aimed at developing and validating a pre-cystectomy nomogram for the prediction of locally advanced urothelial carcinoma of the bladder (UCB) using clinicopathological parameters. Materials and Methods: Multicenter data from 337 patients who underwent radical cystectomy (RC) for UCB were prospectively collected and eligible for final analysis. Univariate and multivariate logistic regression models were applied to identify significant predictors of locally advanced tumor stage (pT3/4 and/or pN+) at RC. Internal validation was performed by bootstrapping. The decision curve analysis (DCA) was done to evaluate the clinical value. Results: The distribution of tumor stages pT3/4, pN+ and pT3/4 and/or pN+ at RC was 44.2, 27.6 and 50.4%, respectively. Age (odds ratio (OR) 0.980; p < 0.001), advanced clinical tumor stage (cT3 vs. cTa, cTis, cT1; OR 3.367; p < 0.001), presence of hydronephrosis (OR 1.844; p = 0.043) and advanced tumor stage T3 and/or N+ at CT imaging (OR 4.378; p < 0.001) were independent predictors for pT3/4 and/or pN+ tumor stage. The predictive accuracy of our nomogram for pT3/4 and/or pN+ at RC was 77.5%. DCA for predicting pT3/4 and/or pN+ at RC showed a clinical net benefit across all probability thresholds. Conclusion: We developed a nomogram for the prediction of locally advanced tumor stage pT3/4 and/or pN+ before RC using established clinicopathological parameters. | ||
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