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来自中国的一个多中心真实世界数据库中对子宫内膜癌淋巴结转移预测模型的评价

董春林 余进进 孙朝阳 陈刚 马丁

现代妇产科进展2025,Vol.34Issue(4):249-254,263,7.
现代妇产科进展2025,Vol.34Issue(4):249-254,263,7.DOI:10.13283/j.cnki.xdfckjz.2025.04.002

来自中国的一个多中心真实世界数据库中对子宫内膜癌淋巴结转移预测模型的评价

Evaluation of lymph node metastasis prediction models for endometrial cancer in a mul-ticenter real-world database from China

董春林 1余进进 1孙朝阳 2陈刚 2马丁2

作者信息

  • 1. 江南大学附属医院妇产科,无锡 214000
  • 2. 华中科技大学同济医学院附属同济医院,武汉 430030
  • 折叠

摘要

Abstract

Objective:Numerous models are available to predict lymph node metastasis(LNM)for endometrial cancer(EC),but which is the most accurate remains unclear.We aimed to evaluate prediction models'performance in a multicenter real-world database.Meth-ods:A retrospective analysis was conducted on a large cohort of 21285 EC patients from the Chinese Endometrial Cancer Consortium(CECC)database.We evaluated the discriminatory a-bility of the 11 models(four preoperatively and seven postoperatively)by comparing their area under the receiver operating characteristic curve(AUC),accuracy(ACC),sensitivity,specific-ity,positive likelihood ratio(PLR),negative likelihood ratio(NLR),positive predictive value(PPV),negative predictive value(NPV),and the number of patients classified as low-risk for LNM.Results:Among the study population,8.0%of patients(1713 out of 21285)have LNM.Two preoperative and two postoperative models exhibited AUC greater than 0.70,ten models a-chieved a false negative(FN)rate of less than 5%,and eight models could assign more than 50%of patients to low-risk.Conclusions:The KGOG model and Mayo-modified criteria are better preoperative tools to guide decision-making regarding lymphadenectomy in EC.Without lymphadenectomy,the Sofiane et al.score or Dong et al.nomogram could be employed to deter-mine the need for a secondary lymphadenectomy.

关键词

子宫内膜癌/淋巴结转移/预测模型

Key words

Endometrial cancer/Lymph node metastasis/Prediction model

分类

医药卫生

引用本文复制引用

董春林,余进进,孙朝阳,陈刚,马丁..来自中国的一个多中心真实世界数据库中对子宫内膜癌淋巴结转移预测模型的评价[J].现代妇产科进展,2025,34(4):249-254,263,7.

基金项目

无锡市太湖人才计划医疗卫生高层次人才项目资助 ()

现代妇产科进展

1004-7379

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