Literature DB >> 23119105

Accuracy of grading of urothelial carcinoma on urine cytology: an analysis of interobserver and intraobserver agreement.

Michelle D Reid1, Adeboye O Osunkoya, Momin T Siddiqui, Stephen W Looney.   

Abstract

BACKGROUND: Urine samples of known urothelial carcinoma were independently graded by 3 pathologists with (MS, MR) and without (AO) fellowship training in cytopathology using a modified version of the 2004 2-tiered World Health Organization classification system. By measuring interobserver and intraobserver agreement among pathologists, compared with the gold standard of biopsy/resection, specimen accuracy and reproducibility of grading in urine was determined.
METHODS: 44 urine cytology samples were graded as low or high-grade by 3 pathologists with a 2-3 week interval between grading. Pathologists were blinded to their and others' grades and histologic diagnoses. Coefficient kappa was used to measure interobserver and intraobserver agreement among pathologists. Accuracy was measured by percentage agreement with the biopsy/resection separately for each pathologist, and for all pathologists and occasions combined.
RESULTS: The overall accuracy was 77% (95% C.I., 72%-82%). Pathologist AO was significantly more accurate than MR on occasion 1 (p = 0.006) and 2 (p = 0.039). No other significant differences were found among the observers. Interobserver agreement using coefficient kappa was unacceptably low, with all but one of the kappa value being less than 0.40, the cutoff for a "fair" degree of agreement. Intraobserver agreement, as measured by coefficient kappa, was adequate.
CONCLUSIONS: Our study underscores the lack of precision and subjective nature of grading urothelial carcinoma on urine samples. There was poor inter- and intraobserver agreement among pathologists despite fellowship training in cytopathology. Clinicians and cytopathologists should be mindful of this pitfall and avoid grading urothelial carcinoma on urine samples, especially since grading may impact patient management.

Entities:  

Keywords:  Urothelial carcinoma; accuracy of grading; urine cytology

Mesh:

Year:  2012        PMID: 23119105      PMCID: PMC3484494     

Source DB:  PubMed          Journal:  Int J Clin Exp Pathol        ISSN: 1936-2625


  36 in total

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Journal:  Am J Surg Pathol       Date:  1998-12       Impact factor: 6.394

2.  Value of computer-assisted quantitative nuclear grading in differentiation of normal urothelial cells from low and high grade transitional cell carcinoma.

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Journal:  Anal Quant Cytol Histol       Date:  1998-02       Impact factor: 0.302

3.  Cytologic evaluation of low grade transitional cell carcinoma and instrument artifact in bladder washings.

Authors:  Young Chae Chu; Jee Young Han; Hye Seung Han; Joon Mee Kim; Jun Kyu Suh
Journal:  Acta Cytol       Date:  2002 Mar-Apr       Impact factor: 2.319

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Journal:  Cancer       Date:  2000-04-01       Impact factor: 6.860

5.  Classification of bladder tumours based on the cellular pattern. Preliminary report of a clinical-pathological study of 300 cases with a minimum follow-up of eight years.

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6.  Grading and staging of bladder carcinoma in transurethral resection specimens. Correlation with 105 matched cystectomy specimens.

Authors:  L Cheng; R M Neumann; A L Weaver; J C Cheville; B C Leibovich; D M Ramnani; B G Scherer; A Nehra; H Zincke; D G Bostwick
Journal:  Am J Clin Pathol       Date:  2000-02       Impact factor: 2.493

7.  Prognostic significance of a grading system considering tumor heterogeneity in muscle-invasive urothelial carcinoma of the urinary bladder.

Authors:  S Krüger; C Thorns; A Böhle; A C Feller
Journal:  Int Urol Nephrol       Date:  2003       Impact factor: 2.370

8.  The effects of the current World Health Organization/International Society of Urologic Pathologists bladder neoplasm classification system on urine cytology results.

Authors:  Jonathan L Curry; Eva M Wojcik
Journal:  Cancer       Date:  2002-06-25       Impact factor: 6.860

9.  Analysis of the performance of pathologists in the grading of bladder tumors.

Authors:  E C Ooms; W A Anderson; C L Alons; M E Boon; R W Veldhuizen
Journal:  Hum Pathol       Date:  1983-02       Impact factor: 3.466

10.  Low grade transitional cell carcinoma of the bladder. Cytologic diagnosis by key features as identified by logistic regression analysis.

Authors:  S S Raab; J C Lenel; M B Cohen
Journal:  Cancer       Date:  1994-09-01       Impact factor: 6.860

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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

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Authors:  Ashish M Kamat; Daniel L Willis; Rian J Dickstein; Rooselvelt Anderson; Graciela Nogueras-González; Ruth L Katz; Xifeng Wu; H Barton Grossman; Colin P Dinney
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3.  [The Paris system for classification of urinary cytology].

Authors:  S Savic; T Vlajnic; L Bubendorf
Journal:  Pathologe       Date:  2017-09       Impact factor: 1.011

4.  Molecular Diagnostic and Prognostication Assays for the Subtyping of Urinary Bladder Cancer Are on the Way to Illuminating Our Vision.

Authors:  Thorsten H Ecke; Florence Le Calvez-Kelm; Thomas Otto
Journal:  Int J Mol Sci       Date:  2022-05-17       Impact factor: 6.208

5.  Mixed low- and high-grade papillary urothelial carcinoma: histopathogenetic and clinical significance.

Authors:  Kien T Mai; Trevor A Flood; Phillip Williams; Zuzana Kos; Eric C Belanger
Journal:  Virchows Arch       Date:  2013-08-04       Impact factor: 4.064

6.  Validation of the diagnostic utility of urinary midkine for the detection of bladder cancer.

Authors:  Dana Vu Van; Ulrike Heberling; Manfred P Wirth; Susanne Fuessel
Journal:  Oncol Lett       Date:  2016-08-23       Impact factor: 2.967

7.  Evaluating the Utility of Combined Bladder Cancer Biomarkers, the Molecular Prognostication of Tumor Subtypes, or What Else Is Needed to Illuminate Our Vision?

Authors:  Thorsten H Ecke; Thomas Otto; Florence Le Calvez-Kelm
Journal:  Int J Mol Sci       Date:  2020-12-18       Impact factor: 5.923

Review 8.  Recent Application of Artificial Intelligence in Non-Gynecological Cancer Cytopathology: A Systematic Review.

Authors:  Nishant Thakur; Mohammad Rizwan Alam; Jamshid Abdul-Ghafar; Yosep Chong
Journal:  Cancers (Basel)       Date:  2022-07-20       Impact factor: 6.575

Review 9.  Proteomics for Early Detection of Non-Muscle-Invasive Bladder Cancer: Clinically Useful Urine Protein Biomarkers.

Authors:  Jae-Hak Ahn; Chan-Koo Kang; Eun-Mee Kim; Ah-Ram Kim; Aram Kim
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  9 in total

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