Literature DB >> 27653446

A reporting system for endometrial cytology: Cytomorphologic criteria-Implied risk of malignancy.

Niki Margari1, Abraham Pouliakis2, Dionysios Anoinos2, Emmanouil Terzakis3, Nikolaos Koureas3, Charalampos Chrelias4, George Marios Makris4, Assimakis Pappas5, Evripidis Bilirakis6, Christina Goudeli3, Vasileia Damaskou7, Nicolaos Papantoniou4, Ioannis Panayiotides7, Petros Karakitsos2.   

Abstract

BACKGROUND: There have been various attempts to assess endometrial lesions on cytological material obtained via direct endometrial sampling. The majority of efforts focus on the description of cytological criteria that lead to classification systems resembling histological reporting formats. These systems have low reproducibility, especially in cases of atypical hyperplasia and well differentiated carcinomas. Moreover, they are not linked to the implied risk of malignancy.
METHODS: The material was collected from women examined at the outpatient department of four participating hospitals. We analyzed 866 consecutive, histologically confirmed cases. The sample collection was performed using the EndoGyn device, and processed via Liquid Based Cytology, namely ThinPrep technique. The diagnostic categories and criteria were established by two cytopathologists experienced in endometrial cytology; performance of the proposed reporting format was assessed on the basis of histological outcome; moreover, the implied risk of malignancy was calculated.
RESULTS: The proposed six diagnostic categories are as follows: (i) nondiagnostic or unsatisfactory; (ii) without evidence of hyperplasia or malignancy; (iii) atypical cells of endometrium of undetermined significance; (iv) atypical cells of endometrium of low probability for malignancy; (v) atypical cells of endometrium of high probability for malignancy; and (vi) malignant. The risk of malignancy was 1.42% ± 0.98%, 44.44% ± 32.46% (nine cases), 4.30% ± 4.12%, 89.80% ± 8.47%, and 97.81% ± 2.45%, respectively.
CONCLUSION: We propose a clinically oriented classification scheme consisting of diagnostic categories with well determined criteria. Each diagnostic category is linked with an implied risk of malignancy; thus, clinicians may decide on patient management and eventually reduce unnecessary interventional diagnostic procedures. Diagn. Cytopathol. 2016;44:888-901.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  ThinPrep; classification; classification system; diagnosis; endometrial cytology; risk of malignancy

Mesh:

Year:  2016        PMID: 27653446     DOI: 10.1002/dc.23605

Source DB:  PubMed          Journal:  Diagn Cytopathol        ISSN: 1097-0339            Impact factor:   1.582


  2 in total

1.  Evaluation Analysis of miRNAs Overexpression in Liquid-Based Cytology Endometrial Samples.

Authors:  Christine Kottaridi; Aris Spathis; Niki Margari; Nikolaos Koureas; Emmanouil Terzakis; Charalampos Chrelias; Asimakis Pappas; Evripidis Bilirakis; Abraham Pouliakis; Ioannis J Panayiotides; Petros Karakitsos
Journal:  J Cancer       Date:  2017-08-22       Impact factor: 4.207

2.  Clinically Applicable Pathological Diagnosis System for Cell Clumps in Endometrial Cancer Screening via Deep Convolutional Neural Networks.

Authors:  Qing Li; Ruijie Wang; Zhonglin Xie; Lanbo Zhao; Yiran Wang; Chao Sun; Lu Han; Yu Liu; Huilian Hou; Chen Liu; Guanjun Zhang; Guizhi Shi; Dexing Zhong; Qiling Li
Journal:  Cancers (Basel)       Date:  2022-08-25       Impact factor: 6.575

  2 in total

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