Factors Associated with Para-Aortic Lymph Node Metastasis in High-Risk Endometrial Cancer

高危子宫内膜癌患者发生腹主动脉旁淋巴结转移的相关因素

阅读:2

Abstract

Background and Objectives: Para-aortic lymph node involvement is a key prognostic factor in high-risk endometrial cancer. This study aimed to identify factors associated with para-aortic lymph node metastasis and to assess their predictive value for surgical decision-making. Materials and Methods: A retrospective analysis was conducted on 81 patients with high-risk endometrial cancer who underwent systematic pelvic and para-aortic lymphadenectomy between January 2015 and December 2024. Factors evaluated included histologic subtype, lymphovascular space invasion (LVSI), cervical stromal involvement, depth of myometrial invasion, and tumor diameter. Univariate and multivariate logistic regression analyses were performed to identify independent predictors of para-aortic metastasis. Receiver operating characteristic (ROC) analysis was used to determine the optimal tumor size threshold. Results: Para-aortic lymph node metastasis was identified in 21.0% of patients, and isolated para-aortic metastasis was observed in 2.5%. In univariate analysis, pelvic lymph node positivity, LVSI, cervical stromal invasion, deep myometrial invasion, and tumor size ≥ 3.55 cm were significantly associated with para-aortic spread. Multivariate analysis revealed that pelvic lymph node positivity was the only independent predictor (OR 39.0; 95% CI 5.06-301.46; p < 0.001). Conclusions: Pelvic lymph node status serves as a strong and independent predictor of para-aortic metastasis in high-risk endometrial cancer. A tumor diameter greater than 3.5 cm may also indicate an increased risk of para-aortic spread. These findings suggest that selective and individualized para-aortic assessment strategies may be considered to improve staging accuracy and optimize surgical planning in this patient population.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。