1. Pattern Recognition to Prognosticate Endometrial Cancer: The Science Behind the Art of Office Hysteroscopy-A Retrospective Study.
- Author
-
Su H, Pandey D, Liu LY, Yen CF, Wang CJ, Huang KG, and Lee CL
- Subjects
- Adenocarcinoma surgery, Adult, Aged, Case-Control Studies, Endometrial Hyperplasia surgery, Endometrial Neoplasms surgery, Endometrium surgery, Female, Follow-Up Studies, Humans, Middle Aged, Neoplasm Grading, Pattern Recognition, Automated, Prognosis, Retrospective Studies, Uterine Neoplasms surgery, Adenocarcinoma pathology, Endometrial Hyperplasia pathology, Endometrial Neoplasms pathology, Endometrium pathology, Hysterectomy, Hysteroscopy methods, Uterine Neoplasms pathology
- 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.
- Published
- 2016
- Full Text
- View/download PDF