分子影像学杂志2025，Vol.48Issue(7)：807-813,7.DOI:10.12122/j.issn.1674-4500.2025.07.03
子宫内膜癌淋巴脉管间隙浸润的预测:基于多参数MRI影像组学结合临床及病理因素
Research on predicting vascular infiltration of endometrial cancer based:on multi-parameter MRI radiomics combined with clinical and pathological features
摘要
Abstract
Objective To develop a fusion model that integrates multiparametric magnetic resonance imaging(mpMRI)-based radiomics features with clinical and pathological variables for predicting lymph-vascular space invasion(LVSI)in patients with endometrial cancer.Methods This retrospective study included 96 patients with pathologically confirmed endometrial cancer treated at Northwest Women's and Children's Hospital from January 2015 to June 2024.Axial T2-weighted imaging(T2WI)and diffusion-weighted imaging(DWI)sequences were used to manually delineate both tumor lesions and corresponding uterine body regions.radiomics features were extracted from the delineated regions.clinical and pathological variables were screened using univariate analysis and significant predictors were integrated with imaging features to construct a fusion model.model performance was evaluated using leave-one-out cross-validation.Results The AUC for DWI-based radiomics models reached 0.84 for tumor lesions and 0.87 for the uterine body,while the T2WI-based models yielded AUCs of 0.82 and 0.84,respectively.multivariate logistic regression identified age,CA199 and Ki67 expression as independent predictors of LVSI(P<0.05),with the combined clinical-pathological model achieving an AUC of 0.834.The final fusion model,incorporating both radiomics and clinical-pathological features,achieved an AUC of 0.920,demonstrating superior predictive performance compared to single-modality models.Conclusion The integration of mpMRI-derived radiomics with key clinical and pathological factors significantly enhances the predictive accuracy for LVSI in endometrial cancer.this fusion approach may provide valuable support for accurate preoperative staging and the development of individualized treatment strategies.关键词
子宫内膜癌/淋巴脉管间隙浸润/磁共振成像/影像组学/免疫组化Key words
endometrial cancer/lymphatic vascular space infiltration/magnetic resonance imaging/radiomics/immunohistochemistry引用本文复制引用
赖家欣,李煜晨,刘伟,闫锐..子宫内膜癌淋巴脉管间隙浸润的预测:基于多参数MRI影像组学结合临床及病理因素[J].分子影像学杂志,2025,48(7):807-813,7.基金项目
陕西省重点研发计划(2024SF-YBXM-239) （2024SF-YBXM-239）
