Literature DB >> 26460065

Automated urinalysis with expert review for incidental identification of atypical urothelial cells: An anticipated bladder carcinoma diagnosis.

R Anderlini1, G Manieri2, C Lucchi2, O Raisi2, A R Soliera3, F Torricelli3, M Varani3, T Trenti3.   

Abstract

BACKGROUND: The most common diagnostic technique for the detection of malignant/atypical urothelial cells (m/AUC) is urinary cytology (Ucytol). Urinary sediment (Used) examination, often prescribed for asymptomatic, healthy subjects, can incidentally identify suspicious/AUC (s/AUC) in routine daily practice.
METHODS: Unstained, unfixed and uncentrifuged urine samples were analyzed with an automated intelligent microscopy (AIM) system. From January 2010, any incidental identification of s/AUC through expert revision of unclassified cell images was reported, according to internal protocols, as an additional note on the patients' laboratory report. Patients' symptomatology or previous history was unknown to the pathologist. All referrals from January 2010 to December 2014, with the s/AUC note, were reviewed and cross-referenced with Ucytol and histology data from a central database.
RESULTS: Of the 162 patients identified with s/AUC (0.1/1000 samples), 84% (n=136) performed further Ucytol and/or histological examinations. The sensitivity of the identification of non-transitory AUC at Used was 87.5%. Positive histological examinations were 91.2% classified as high-grade urothelial carcinoma.
CONCLUSIONS: Routine Used examination, with an AIM and expert revision, can identify the presence of AUC in a clinical laboratory setting, and for some subjects, may anticipate bladder carcinoma diagnosis.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atypical urothelial cells; Automated urinalysis; Bladder carcinoma; Early diagnosis; Urinary sediment; iQ200

Mesh:

Year:  2015        PMID: 26460065     DOI: 10.1016/j.cca.2015.10.005

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  3 in total

1.  Investigation of Atyp.C using UF-5000 flow cytometer in patients with a suspected diagnosis of urothelial carcinoma: a single-center study.

Authors:  Chunyun Ren; Xing Wang; Chunwei Yang; Shengchao Li; Shuangchun Liu; Hongcui Cao
Journal:  Diagn Pathol       Date:  2020-06-25       Impact factor: 2.644

Review 2.  Progress in Automated Urinalysis.

Authors:  Matthijs Oyaert; Joris Delanghe
Journal:  Ann Lab Med       Date:  2019-01       Impact factor: 3.464

3.  Diagnostic significance of dual immunocytochemical staining of p53/cytokeratin20 on liquid-based urine cytology to detect urothelial carcinoma.

Authors:  Song-Yi Choi; Kyung-Hee Kim; Kwang-Sun Suh; Min-Kyung Yeo
Journal:  Cytojournal       Date:  2020-02-27       Impact factor: 2.091

  3 in total

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