164
Views
7
CrossRef citations to date
0
Altmetric
Research Article

Accuracy of frozen section in the diagnosis of ovarian tumours

, &
Pages 479-482 | Published online: 04 Jun 2012
 

Abstract

The purpose of our retrospective study was to assess the accuracy of intraoperative frozen section diagnosis compared to final paraffin diagnosis in ovarian tumours at a gynaecological oncology centre in the UK. We analysed 66 cases and observed that frozen section consultation agreed with final paraffin diagnosis in 59 cases, which provided an accuracy of 89.4%. The overall sensitivity and specificity for all tumours were 85.4% and 100%, respectively. The positive predictive value (PPV) and negative predictive value (NPV) were 100% and 89.4%, respectively. Of the seven cases with discordant results, the majority were large, mucinous tumours, which is in line with previous studies. Our study demonstrated that despite its limitations, intraoperative frozen section has a high accuracy and sensitivity for assessing ovarian tumours; however, care needs to be taken with large, mucinous tumours.

Acknowledgements

We are grateful to Dr Maryse Sundaresan, lead Consultant Histopathologist on gynaecological disease, Dr Peter Atkinson, Consultant Pathologist (deceased) and Margaret Chappell Consultant Pathologist (retired) for supplying the photomicrograph images. Also we would like to thank Dr Ketan Gajjar (Clinical Fellow Registrar in gynaecology oncology), Dr Gregory Szymczyk, Dr Annette Zeidman and Dr Mandeep Singh, for helping to search for the data and download relevant articles.

Declaration of interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.