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Prediction of Locally Advanced Urothelial Carcinoma of the Bladder Using Clinical Parameters before Radical Cystectomy - A Prospective Multicenter Study

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Prediction of Locally Advanced Urothelial Carcinoma of the Bladder Using Clinical Parameters before Radical Cystectomy - A Prospective Multicenter Study. / Martini, Thomas; Aziz, Atiqullah; Roghmann, Florian; Rink, Michael; Chun, Felix K; Fisch, Margit; Trojan, Lutz; Hakenberg, Oliver W; Zastrow, Stefan; Wirth, Manfred P; Moersdorf, Johannes; Brookman-May, Sabine; Stief, Christian G; Haferkamp, Axel; Wagenlehner, Florian; Hohenfellner, Markus; Herrmann, Edwin; Lusuardi, Lukas; Grimm, Marc-Oliver; Müller, Stephan C; Roigas, Jan; Bastian, Patrick J; Gierth, Michael; Burger, Maximilian; Pycha, Armin; Seitz, Christian; May, Matthias; Bolenz, Christian.

in: UROL INT, Jahrgang 96, Nr. 1, 01.07.2015, S. 57-64.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Martini, T, Aziz, A, Roghmann, F, Rink, M, Chun, FK, Fisch, M, Trojan, L, Hakenberg, OW, Zastrow, S, Wirth, MP, Moersdorf, J, Brookman-May, S, Stief, CG, Haferkamp, A, Wagenlehner, F, Hohenfellner, M, Herrmann, E, Lusuardi, L, Grimm, M-O, Müller, SC, Roigas, J, Bastian, PJ, Gierth, M, Burger, M, Pycha, A, Seitz, C, May, M & Bolenz, C 2015, 'Prediction of Locally Advanced Urothelial Carcinoma of the Bladder Using Clinical Parameters before Radical Cystectomy - A Prospective Multicenter Study', UROL INT, Jg. 96, Nr. 1, S. 57-64. https://doi.org/10.1159/000433606

APA

Martini, T., Aziz, A., Roghmann, F., Rink, M., Chun, F. K., Fisch, M., Trojan, L., Hakenberg, O. W., Zastrow, S., Wirth, M. P., Moersdorf, J., Brookman-May, S., Stief, C. G., Haferkamp, A., Wagenlehner, F., Hohenfellner, M., Herrmann, E., Lusuardi, L., Grimm, M-O., ... Bolenz, C. (2015). Prediction of Locally Advanced Urothelial Carcinoma of the Bladder Using Clinical Parameters before Radical Cystectomy - A Prospective Multicenter Study. UROL INT, 96(1), 57-64. https://doi.org/10.1159/000433606

Vancouver

Martini T, Aziz A, Roghmann F, Rink M, Chun FK, Fisch M et al. Prediction of Locally Advanced Urothelial Carcinoma of the Bladder Using Clinical Parameters before Radical Cystectomy - A Prospective Multicenter Study. UROL INT. 2015 Jul 1;96(1):57-64. https://doi.org/10.1159/000433606

Bibtex

@article{942aa0c1196746b782760ecc968e1a26,
title = "Prediction of Locally Advanced Urothelial Carcinoma of the Bladder Using Clinical Parameters before Radical Cystectomy - A Prospective Multicenter Study",
abstract = "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. {\textcopyright} 2015 S. Karger AG, Basel.",
author = "Thomas Martini and Atiqullah Aziz and Florian Roghmann and Michael Rink and Chun, {Felix K} and Margit Fisch and Lutz Trojan and Hakenberg, {Oliver W} and Stefan Zastrow and Wirth, {Manfred P} and Johannes Moersdorf and Sabine Brookman-May and Stief, {Christian G} and Axel Haferkamp and Florian Wagenlehner and Markus Hohenfellner and Edwin Herrmann and Lukas Lusuardi and Marc-Oliver Grimm and M{\"u}ller, {Stephan C} and Jan Roigas and Bastian, {Patrick J} and Michael Gierth and Maximilian Burger and Armin Pycha and Christian Seitz and Matthias May and Christian Bolenz",
year = "2015",
month = jul,
day = "1",
doi = "10.1159/000433606",
language = "English",
volume = "96",
pages = "57--64",
journal = "UROL INT",
issn = "0042-1138",
publisher = "S. Karger AG",
number = "1",

}

RIS

TY - JOUR

T1 - Prediction of Locally Advanced Urothelial Carcinoma of the Bladder Using Clinical Parameters before Radical Cystectomy - A Prospective Multicenter Study

AU - Martini, Thomas

AU - Aziz, Atiqullah

AU - Roghmann, Florian

AU - Rink, Michael

AU - Chun, Felix K

AU - Fisch, Margit

AU - Trojan, Lutz

AU - Hakenberg, Oliver W

AU - Zastrow, Stefan

AU - Wirth, Manfred P

AU - Moersdorf, Johannes

AU - Brookman-May, Sabine

AU - Stief, Christian G

AU - Haferkamp, Axel

AU - Wagenlehner, Florian

AU - Hohenfellner, Markus

AU - Herrmann, Edwin

AU - Lusuardi, Lukas

AU - Grimm, Marc-Oliver

AU - Müller, Stephan C

AU - Roigas, Jan

AU - Bastian, Patrick J

AU - Gierth, Michael

AU - Burger, Maximilian

AU - Pycha, Armin

AU - Seitz, Christian

AU - May, Matthias

AU - Bolenz, Christian

PY - 2015/7/1

Y1 - 2015/7/1

N2 - 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. © 2015 S. Karger AG, Basel.

AB - 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. © 2015 S. Karger AG, Basel.

U2 - 10.1159/000433606

DO - 10.1159/000433606

M3 - SCORING: Journal article

C2 - 26139354

VL - 96

SP - 57

EP - 64

JO - UROL INT

JF - UROL INT

SN - 0042-1138

IS - 1

ER -