IETA ultrasound features combined with tumor markers can effectively predict the pathological grading of endometrial cancer
CHENG Jinman
HU Chongxi
YANG Zongli
Abstract：Objective To analyze the two-dimensional sonographic characteristics and blood flow distribution patterns of endometrial cancer(EC)using the consensus terminology of the International Endometrial Tumor Analysis(IETA),and explore the diagnostic value of combining IETA ultrasound features with tumor markers in predicting the pathological grading of EC.Methods A retrospective analysis was conducted on the ultrasound images and serum tumor marker levels of 147 EC patients at Affiliated Hospital of Qiaodao University from January 2020 to August 2024.According to the 2023 staging system of the International Federation of Gynecology and Obstetrics,the enrolled cases were divided into a low-grade group(n=104)and a high-grade group(n=43)based on histological types.Univariate and multivariate logistic regression analyses were performed to assess the diagnostic efficacy of individual indicators and combined multi-factor indicators.Diagnostic performance was evaluated using ROC curves,and the AUC was calculated.Results Univariate analysis showed statistically significant differences between the low-grade and high-grade groups in CA125,HE4,endometrium-myometrium junction morphology,endometrial echogenicity,blood flow scores,and lesion diameter(P<0.05).Multivariate logistic regression analysis identified CA125,endometrium-myometrium junction morphology,blood flow scores,and lesion diameter as independent risk factors for predicting high-grade EC(P<0.05).The combined multi-factor indicators showed a sensitivity of 69.80%,specificity of 82.70%,accuracy of 81.13%,and an AUC of 0.81,which was significantly higher than that of individual indicators.Conclusion The combination of IETA ultrasound features and CA125 demonstrates high diagnostic value in predicting the pathological grades of EC.It provides critical evidence for the early identification of high-grade EC patients.
Keywords：endometrial cancerultrasound examinationInternational Endometrial Tumor Analysistumor markerspathological grading
Publication Date：2025-07-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 873-879 )