ArticleQuantitative imaging in medicine and surgery2026
A nomogram for predicting high-risk endometrial cancer based on the transvaginal ultrasonography and contrast-enhanced ultrasonography.
Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The high-risk endometrial carcinoma (EC) constitutes a significant threat to the survival of women. However, existing diagnostic modalities exhibit inherent limitations. Contrast-enhanced ultrasonography (CEUS) and transvaginal ultrasonography (TVUS) have demonstrated considerable potential for oncological assessment owing to their diagnostic accuracy and operational simplicity. Therefore, this study aimed to construct a comprehensive diagnostic model for high-risk EC by synergistically integrating TVUS and CEUS parameters. Methods: Patients pathologically diagnosed with EC were enrolled and categorized into low-risk and high-risk groups based on pathological risk factors. Demographic information, TVUS, and CEUS examination results were collected. Intergroup comparisons were executed via Chi-square tests, independent samples Results: A total of 128 patients with EC were enrolled in this study, among whom 62 were classified as high-risk cases. Significant differences were observed between high-risk (n=62) and low-risk (n=66) EC patients across multiple clinical characteristics and imaging parameters. Univariate logistic regression analysis revealed 18 variables significantly associated with high-risk EC. Multicollinearity assessment (VIF threshold: 5.0) identified 6 variables with severe collinearity. LASSO regression analysis identified CEUS-derived area under the curve (AUC), enhancement degree (ED), perfusion mode (PM), endometrial-myometrial border (EMB), tumor anterior-posterior diameter (TAP) and menopausal status as independent predictive factors, which were incorporated into the nomogram model. This model achieved an AUC of 0.9213, with substantial clinical net benefit and robust stability. Conclusions: This study constructed and validated an efficient nomogram for predicting high-risk EC, by integrating TVUS and CEUS parameters. These findings furnished guidance for the precise identification and timely management of high-risk patients.
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