Pattern recognition to prognosticate endometrial cancer: The science behind the art of office hysteroscopy - A retrospective study

Hsuan Su, Deeksha Pandey, Ling Yu Liu, Chih Feng Yen, Chin Jung Wang, Kuan Gen Huang, Chyi Long Lee

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Objective This study aimed to evaluate a specific glomerular pattern for prognostication of endometrial cancer (EC). Materials and Methods The office hysteroscopy's picture and video of 4197 women were reviewed, 48 women who were suspected of type I EC were analyzed: 26 have glomerular pattern (group 1) and 22 without it (group 2). Results The histopathological grading after hysterectomy with glomerular pattern had grade 2 or grade 3 disease on final histology (n = 25; 96%). The sensitivity and specificity of this test were 84.6% and 81.8%, respectively, with a likelihood ratio of 4:6 in predicting and prognosticating those women who have high-grade tumor or invasive disease. Conclusions This hysteroscopic picture might be used as a novel marker for risk stratification of EC.

Original languageEnglish
Pages (from-to)705-710
Number of pages6
JournalInternational Journal of Gynecological Cancer
Volume26
Issue number4
DOIs
Publication statusPublished - 01-05-2016

All Science Journal Classification (ASJC) codes

  • Oncology
  • Obstetrics and Gynaecology

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