Impact of implementing the paris system for reporting urinary cytology: A single-institutional experience with emphasis on diagnostic yield of high-grade urothelial carcinoma and low-grade urothelial neoplasm

Hyun Hee Koh, Moon Jung Lee, Noh Jin Park, Hyun Soo Kim, Young Lyun Oh

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Background/Aim: The Paris System (TPS) has recently been proposed as a method to standardize urinary cytology reporting. In this study, we evaluated the impact of implementing TPS compared to the traditional reporting system. Patients and Methods: In total, 299 urine samples were reclassified according to TPS. We examined correlations between cytological and histological diagnoses, and calculated probabilities for detecting high-grade urothelial carcinoma (HGUC). Results: TPS resulted in a decrease in the proportion of cases diagnosed as atypical urothelial cell (AUC) (43% to 31%). Among the AUC cases, the proportion of histologically confirmed HGUC cases rose (75% to 80%), as did the proportion of low-grade urothelial neoplasms (57% to 71%). All probabilities for detecting HGUC significantly increased using TPS. Conclusion: TPS improved the diagnostic yield of urinary cytology. The implementation of TPS is expected to be a major step towards standardizing urinary cytology reporting and providing clear information to clinicians.

Original languageEnglish
Pages (from-to)3477-3484
Number of pages8
JournalAnticancer research
Volume40
Issue number6
DOIs
Publication statusPublished - 2020 Jun

Bibliographical note

Funding Information:
This research was supported by a grant from the National Research Foundation of Korea (NRF), funded by the Korean government (MSIT) (2018R1C1B5043725) and by the Basic Science Research Program through the NRF funded by the Ministry of Education (2016R1D1A1B03935584). The Authors would like to thank Dr. Sung-Im Do (Department of Pathology, Kangbuk Samsung Hospital, Seoul, Republic of Korea) for her support.

Publisher Copyright:
© 2020 International Institute of Anticancer Research. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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