DOI: 10.47582/jompac.1998233 ISSN: 2717-7505
Menopause-specific ROC-based cutoff values for endometrial thickness and the role of heterogeneous endometrial morphology in predicting EIN/endometrial carcinoma
Meryem Bekmezci, Ramazan Bülbül, Melike Ordu Aims: To evaluate the diagnostic value of transvaginal ultrasonography in differentiating benign and malignant endometrial conditions and to determine menopause-specific endometrial thickness cutoff values.Methods: This retrospective study included 6,333 women with abnormal uterine bleeding who underwent transvaginal ultrasonography followed by histopathological evaluation between January 2020 and December 2025. Demographic characteristics, endometrial thickness and morphology, and histopathological findings were recorded. Diagnostic performance was assessed using ROC analysis, optimal cutoff values were determined using the Youden index, and independent predictors were evaluated by multivariable logistic regression.Results: Endometrial thickness was significantly greater in patients with hyperplasia, endometrial intraepithelial neoplasia (EIN), and endometrial carcinoma than in those with benign histopathology (p12 mm in premenopausal and perimenopausal women and >14.2 mm in postmenopausal women. Increasing age (OR 1.06), endometrial thickness (OR 1.11), postmenopausal status (OR 3.14), and heterogeneous endometrial morphology (OR 10.32) were independent predictors of EIN/endometrial carcinoma.Conclusion: Endometrial thickness is a valuable predictor of EIN/endometrial carcinoma. Combining menopause-specific cutoff values with endometrial morphology and clinical factors may improve diagnostic accuracy and support individualized clinical decision-making.
More from our Archive
-
DOI: 10.1145/3845995 2026
A Survey of LLM-based Software Repair: Taxonomies, Design Paradigms, and Applications Boyang Yang, Zijian Cai, Fengling Liu, Bach Le, Lingming Zhang, Tegawendé F. Bissyandé, Yang Liu, Haoye Tian
-
DOI: 10.1108/jrim-02-2024-0074 2026
Cutting-edge research in social media and interactive marketing: a
review and research agenda James W Peltier, Andrew J Dahl, Lauren Drury, Tracy Khan
-
DOI: 10.1108/jkm-04-2021-0336 2026
Knowledge hiding – a systematic review and research
agenda Amitabh Anand, Florian Offergelt, Payal Anand
-
DOI: 10.1257/aer.20230448 2026
The Unequal Economic Consequences of Carbon Pricing Diego R. Känzig
-
DOI: 10.1017/awf.2026.10115 2026
Part 1: Assessment of upright restraint of broilers for head-only electrical stunning Troy J. Gibson, Georgina Limon, Shannon Campbell, Natalie Chancellor, Katharine A Fletcher, Paul Berry, Jeff Lines
-
DOI: 10.21468/scipostphyscodeb.86 2026
MadAgents Tilman Plehn, Daniel Schiller, Nikita Schmal
-
DOI: 10.21468/scipostphyscodeb.86-r2.0 2026
Codebase release 2.0 for MadAgents Tilman Plehn, Daniel Schiller, Nikita Schmal
-
DOI: 10.21468/scipostphyscodeb.85 2026
svPITE: A Python package for the state-vector-based probabilistic imaginary-time evolution algorithm Pascal Sievers, Satoshi Ejima
-
DOI: 10.21468/scipostphyscodeb.85-r1.1 2026
Codebase release 1.1 for svPITE Pascal Sievers, Satoshi Ejima
-
DOI: 10.1177/02611929261494117 2026
The World Medical Association’s
Declaration of Helsinki
and
Statement on Animal Use in Biomedical Research
: Why reliable and valid preclinical evidence and Natalie Anderson, Jane Kotzmann, Rachel Smith, Kathrin Herrmann