Literature DB >> 16542342

Institutional variability in the accuracy of urinary cytology for predicting recurrence of transitional cell carcinoma of the bladder.

Pierre I Karakiewicz1, Serge Benayoun, Craig Zippe, Gerson Lüdecke, Hans Boman, Marta Sanchez-Carbayo, Roberto Casella, Christine Mian, Martin G Friedrich, Sanaa Eissa, Hideyuki Akaza, Hartwig Huland, Hans Hedelin, Raina Rupesh, Naoto Miyanaga, Arthur I Sagalowsky, Michael J Marberger, Shahrokh F Shariat.   

Abstract

OBJECTIVE: To assess the contemporary inter-institutional accuracy of urinary cytology in predicting the recurrence of transitional cell carcinoma (TCC) of the bladder, in a large multi-institutional cohort from four continents, as cystoscopy and urinary cytology represent the 'gold standards' for surveillance of TCC recurrences, but the ability of cytology to predict recurrence varies. PATIENTS AND METHODS: Ten institutions contributed 2542 patients with a history of superficial TCC, of whom 898 had TCC recurrence. Age- and gender-adjusted logistic regression models were used to evaluate the association between urine cytology and TCC recurrence. The predictive accuracy derived from the logistic regression model was tested using the area under the receiver operating characteristic curve. The resulting predictive accuracy estimates were internally validated with 200 bootstrap re-samples.
RESULTS: The mean (range across institutions) age of the patients was 65 (48-69) years and 75 (67-87)% were men. Cytology was positive in 19 (10-38)% of patients; recurrence was identified in 35 (27-54)% of patients. The sensitivity was 38-65% across institutions. Urinary cytology varied significantly in its ability to predict recurrence of bladder cancer. Institution-specific predictive accuracy adjusted for gender and age was 0.627-0.893. Stratifying by grade and stage only partly attenuated the discrepancies between centres.
CONCLUSIONS: The variability of urinary cytology results was very appreciable among the 10 centres and ranged from poor (63%) to excellent (89%).

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Year:  2006        PMID: 16542342     DOI: 10.1111/j.1464-410X.2006.06036.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  41 in total

1.  Noninvasive diagnostic imaging using machine-learning analysis of nanoresolution images of cell surfaces: Detection of bladder cancer.

Authors:  I Sokolov; M E Dokukin; V Kalaparthi; M Miljkovic; A Wang; J D Seigne; P Grivas; E Demidenko
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-03       Impact factor: 11.205

2.  Quantitative Proteomic Analysis Identifies AHNAK (Neuroblast Differentiation-associated Protein AHNAK) as a Novel Candidate Biomarker for Bladder Urothelial Carcinoma Diagnosis by Liquid-based Cytology.

Authors:  Hyebin Lee; Kwangsoo Kim; Jongmin Woo; Joonho Park; Hyeyoon Kim; Kyung Eun Lee; Hyeyeon Kim; Youngsoo Kim; Kyung Chul Moon; Ji Young Kim; In Ae Park; Bo Bae Shim; Ji Hye Moon; Dohyun Han; Han Suk Ryu
Journal:  Mol Cell Proteomics       Date:  2018-06-27       Impact factor: 5.911

3.  Reflex fluorescence in situ hybridization assay for suspicious urinary cytology in patients with bladder cancer with negative surveillance cystoscopy.

Authors:  Philip H Kim; Ranjit Sukhu; Billy H Cordon; John P Sfakianos; Daniel D Sjoberg; A Ari Hakimi; Guido Dalbagni; Oscar Lin; Harry W Herr
Journal:  BJU Int       Date:  2014-02-14       Impact factor: 5.588

4.  A negative-pressure-driven microfluidic chip for the rapid detection of a bladder cancer biomarker in urine using bead-based enzyme-linked immunosorbent assay.

Authors:  Yen-Heng Lin; Ying-Ju Chen; Chao-Sung Lai; Yi-Ting Chen; Chien-Lun Chen; Jau-Song Yu; Yu-Sun Chang
Journal:  Biomicrofluidics       Date:  2013-03-07       Impact factor: 2.800

Review 5.  Current Use and Promise of Urinary Markers for Urothelial Cancer.

Authors:  William Tabayoyong; Ashish M Kamat
Journal:  Curr Urol Rep       Date:  2018-10-17       Impact factor: 3.092

6.  Impact of intravesical therapy for non-muscle invasive bladder cancer on the accuracy of urine cytology.

Authors:  Mohit Gupta; Niv Milbar; Giorgia Tema; Filippo Pederzoli; Meera Chappidi; Max Kates; Christopher J VandenBussche; Trinity J Bivalacqua
Journal:  World J Urol       Date:  2019-01-23       Impact factor: 4.226

7.  Influence of age on false positive rates of urine-based tumor markers.

Authors:  M Horstmann; T Todenhöfer; J Hennenlotter; S Aufderklamm; J Mischinger; U Kuehs; G Gakis; A Stenzl; C Schwentner
Journal:  World J Urol       Date:  2012-07-18       Impact factor: 4.226

8.  Immunocytology is a strong predictor of bladder cancer presence in patients with painless hematuria: a multicentre study.

Authors:  Eugene K Cha; Lenuta-Ancuta Tirsar; Christian Schwentner; Paul J Christos; Christine Mian; Joerg Hennenlotter; Thomas Martini; Arnulf Stenzl; Armin Pycha; Shahrokh F Shariat; Bernd J Schmitz-Dräger
Journal:  Eur Urol       Date:  2011-09-09       Impact factor: 20.096

9.  Critical evaluation of urinary markers for bladder cancer detection and monitoring.

Authors:  Shahrokh F Shariat; Jose A Karam; Yair Lotan; Pierre I Karakiewizc
Journal:  Rev Urol       Date:  2008

Review 10.  [Fluorescence cystoscopy at bladder cancer: present trials].

Authors:  D Zaak; A Karl; H Stepp; S Tritschler; D Tilki; M Burger; R Knuechel; C Stief
Journal:  Urologe A       Date:  2007-11       Impact factor: 0.639

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