Immunocytology Is a Strong Predictor of Bladder Cancer Presence in Patients With Painless Hematuria: A Multicentre Study

被引:45
作者
Cha, Eugene K. [1 ]
Tirsar, Lenuta-Ancuta [2 ,3 ]
Schwentner, Christian [3 ]
Christos, Paul J. [4 ]
Mian, Christine [5 ]
Hennenlotter, Joerg [3 ]
Martini, Thomas [6 ]
Stenzl, Arnulf [3 ]
Pycha, Armin [6 ]
Shariat, Shahrokh F. [1 ,7 ]
Schmitz-Draeger, Bernd J. [2 ]
机构
[1] New York Presbyterian Hosp, Weill Cornell Med Coll, Dept Urol, New York, NY 10065 USA
[2] EuromedClin, Dept Urol, Nurnberg, Germany
[3] Univ Tubingen, Dept Urol, Tubingen, Germany
[4] New York Presbyterian Hosp, Weill Cornell Med Coll, Div Biostat & Epidemiol, New York, NY 10065 USA
[5] Gen Hosp Bolzano, Dept Pathol, Bolzano, Italy
[6] Gen Hosp Bolzano, Dept Urol, Bolzano, Italy
[7] New York Presbyterian Hosp, Weill Cornell Med Coll, Div Med Oncol, New York, NY 10065 USA
关键词
Cystoscopy; Decision curve analysis; Early detection of cancer; Hematuria; Immunocytology; Nomograms; Urinary bladder neoplasms; UROTHELIAL CARCINOMA; URINARY CYTOLOGY; CLASSIFICATION; RECURRENCE; ACCURACY; MARKERS; MODELS;
D O I
10.1016/j.eururo.2011.08.073
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
100201 [内科学]; 100221 [泌尿外科学];
摘要
Background: Although the performance of immunocytology has been established in the surveillance of patients with urothelial carcinoma of the bladder (UCB), its value in the initial detection of UCB in patients with painless hematuria remains unclear. Objective: To determine whether immunocytology improves our ability to predict the likelihood of UCB in patients with painless hematuria. Further, to test the clinical benefit of immunocytology in this setting using decision curve analysis. Design, setting, and participants: The subjects were 1182 consecutive patients without a history of UCB presenting with painless hematuria and were enrolled at three centres. Intervention: All patients underwent upper-tract imaging, cystourethroscopy, voided urine cytology, and immunocytology analysis. Bladder tumors were biopsied and histologically confirmed as UCB. Measurements: Multivariable regression models were developed. Area under the curve was measured and compared using the DeLong test. A nomogram was constructed from the full multivariable model. Decision curve analysis was performed to evaluate the clinical benefit associated with use of the multivariable models including immunocytology. Results and limitations: Immunocytology had the largest contribution to a multivariable model for the prediction of UCB (odds ratio: 18.3; p < 0.0001), which achieved a 90.8% predictive accuracy. Decision curve analysis revealed that models incorporating immunocytology achieved the highest net benefit at all threshold probabilities. Conclusions: Immunocytology is a strong predictor of the presence of UCB in patients who present with painless hematuria. Incorporation of immunocytology into predictive models improves diagnostic accuracy by a statistically and clinically significant margin. The use of immunocytology in the diagnostic workup of patients with hematuria appears promising and should be further evaluated. (C) 2011 European Association of Urology. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:185 / 192
页数:8
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