Literature DB >> 23192913

The Johns Hopkins Hospital template for urologic cytology samples: parts II and III: improving the predictability of indeterminate results in urinary cytologic samples: an outcomes and cytomorphologic study.

Christopher J VandenBussche1, Srividya Sathiyamoorthy, Christopher L Owens, Frances H Burroughs, Dorothy L Rosenthal, Hui Guan.   

Abstract

BACKGROUND: Urine cytology represents a major portion of testing volume in many cytopathology laboratories.
METHODS: The authors previously reported a template designed to standardize urothelial diagnostic categories to enable clinicians to uniformly manage their patients. In this study, they examined the common cytomorphologic features observed in specimens diagnosed with atypical urothelial cells, cannot exclude high-grade urothelial carcinoma (AUC-H), which prove most predictive of high-grade urothelial carcinoma (HGUC).
RESULTS: The most common morphologic features observed in the AUC-H specimens were hyperchromasia, irregular nuclear borders, increased nucleus-to-cytoplasm ratio, and anisonucleosis. Of the 58 patients who had specimens diagnosed with AUC-H, 95% ultimately were diagnosed with HGUC on follow-up biopsy over the study period. The small number of patients who had AUC-H with non-HGUC follow-up did not allow for a statistical comparison to determine the predictive ability of the selected criteria for HGUC. Next, the authors used the same features to examine a subset of urine samples that were diagnosed with atypical urothelial cells of unknown significance (AUC-US) in an attempt to improve the predictive value of this clinically frustrating category. A blind review was performed of 290 urine specimens from 217 patients. In contrast to the AUC-H specimen cohort, the majority of specimens with AUC-US did not contain atypical cells with the 4 common morphologic features. All 4 features significantly predicted HGUC in surveillance patients, but not in patients with hematuria.
CONCLUSIONS: Hyperchromasia was the strongest predictor of HGUC by far in patients who were undergoing surveillance (odds ratio, 9.81). Hyperchromasia remained statistically significant in multivariate analysis, indicating its predictive strength even in the absence of other features.
Copyright © 2012 American Cancer Society.

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Year:  2012        PMID: 23192913     DOI: 10.1002/cncy.21254

Source DB:  PubMed          Journal:  Cancer Cytopathol        ISSN: 1934-662X            Impact factor:   5.284


  8 in total

1.  Evaluation of Sienna Cancer Diagnostics hTERT Antibody on 500 Consecutive Urinary Tract Specimens.

Authors:  Derek B Allison; Rajni Sharma; Morgan L Cowan; Christopher J VandenBussche
Journal:  Acta Cytol       Date:  2018-06-06       Impact factor: 2.319

2.  Evaluation of urovysion and cytology for bladder cancer detection: a study of 1835 paired urine samples with clinical and histologic correlation.

Authors:  Haythem Dimashkieh; Daynna J Wolff; T Michael Smith; Patricia M Houser; Paul J Nietert; Jack Yang
Journal:  Cancer Cytopathol       Date:  2013-06-25       Impact factor: 5.284

3.  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

Review 4.  The Diagnostic Dilemma of Urothelial Tissue Fragments in Urinary Tract Cytology Specimens.

Authors:  Derek B Allison; M Lisa Zhang; Poonam Vohra; Christopher J VandenBussche
Journal:  Diagnostics (Basel)       Date:  2022-04-08

5.  Interobserver reproducibility of The Paris System for Reporting Urinary Cytology.

Authors:  Theresa Long; Lester J Layfield; Magda Esebua; Shellaine R Frazier; D Tamar Giorgadze; Robert L Schmidt
Journal:  Cytojournal       Date:  2017-07-24       Impact factor: 2.091

6.  Impact of the Paris system for reporting urine cytopathology on predictive values of the equivocal diagnostic categories and interobserver agreement.

Authors:  Rania Bakkar; James Mirocha; Xuemo Fan; David P Frishberg; Mariza de Peralta-Venturina; Jing Zhai; Shikha Bose
Journal:  Cytojournal       Date:  2019-10-22       Impact factor: 2.091

7.  Upper tract urinary cytology to detect upper tract urothelial carcinoma: Using the Johns Hopkins Hospital template and evaluation of its feasibility.

Authors:  Longwen Chen; Huiying He; Matthew A Zarka; Ming Zhou; Cristina Magi-Galluzzi
Journal:  Cytojournal       Date:  2015-07-28       Impact factor: 2.091

8.  Diagnostic Agreement for High-Grade Urothelial Cell Carcinoma in Atypical Urine Cytology: A Nationwide Survey Reveals a Tendency for Overestimation in Specimens with an N/C Ratio Approaching 0.5.

Authors:  Yeh-Han Wang; Jen-Fan Hang; Chien-Hui Wen; Kuan-Cho Liao; Wen-Ying Lee; Chiung-Ru Lai
Journal:  Cancers (Basel)       Date:  2020-01-22       Impact factor: 6.639

  8 in total

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