Literature DB >> 26937755

Pattern Recognition to Prognosticate Endometrial Cancer: The Science Behind the Art of Office Hysteroscopy-A Retrospective Study.

Hsuan Su1, Deeksha Pandey, Ling-Yu Liu, Chih-Feng Yen, Chin-Jung Wang, Kuan-Gen Huang, Chyi-Long Lee.   

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.

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Mesh:

Year:  2016        PMID: 26937755     DOI: 10.1097/IGC.0000000000000676

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  2 in total

1.  Establishing patterns on hysteroscopy in abnormal uterine bleeding (AUB).

Authors:  Deeksha Pandey; Srividya Kunamneni; Pranadeep Reddy Inukollu; Hsuan Su
Journal:  Gynecol Minim Invasive Ther       Date:  2017-08-26

Review 2.  Preoperative assessment of endometrial cancer.

Authors:  Péter Török; Zoárd Krasznai; Szabolcs Molnár; Rudolf Lampé; Attila Jakab
Journal:  Transl Cancer Res       Date:  2020-12       Impact factor: 1.241

  2 in total

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