Constructing a prediction model for lymph node metastasis in patients with incidental finding of endometrial cancer based on Fully-Connected Network.

IF 3.7 2区医学 Q1 OBSTETRICS & GYNECOLOGY

Journal of Gynecologic Oncology Pub Date : 2025-06-18 DOI:10.3802/jgo.2026.37.e1

Yuzhen Huang, Qing Lin, Wei Liu, Yulan Ren, Huaying Wang, Zhiying Xu, Yu Xue, Wanying Zhou, Jiongbo Liao, Yiqin Wang, Weimin Tan, Bo Yan, Xiaojun Chen

{"title":"Constructing a prediction model for lymph node metastasis in patients with incidental finding of endometrial cancer based on Fully-Connected Network.","authors":"Yuzhen Huang, Qing Lin, Wei Liu, Yulan Ren, Huaying Wang, Zhiying Xu, Yu Xue, Wanying Zhou, Jiongbo Liao, Yiqin Wang, Weimin Tan, Bo Yan, Xiaojun Chen","doi":"10.3802/jgo.2026.37.e1","DOIUrl":null,"url":null,"abstract":"Objective: Rare studies focused on patients with incidental diagnosis of endometrial cancer (EC) after hysterectomy. We intended to construct a prediction model of lymph node metastasis (LNM) based on Fully-Connected Network (FC Network) for these patients.Methods: A total of 3,920 cases of EC that met the criteria from Obstetrics & Gynecology Hospital of Fudan University between January 2016 and February 2023 and 1995 cases from Fudan University Shanghai Cancer Center between January 2013 and October 2020 were retrospectively included for the construction of a predicting model which was based on FC Network. At the same time, 572 cases were prospectively collected for external validation.Results: The sensitivity of the model was 0.946. Lympho-vascular space invasion, myometrial invasion, tumor grade, microcystic elongated and fragmented invasion, progesterone receptor, and cancer antigen 125 were used to construct a simplified nomogram. The area under the curve of the nomogram was 0.890 and 0.885 in validation and prospective cohorts, respectively.Conclusion: The model we proposed has good sensitivity and can be used to predict the risk of LNM in patients with incidentally found EC. The simplified nomogram can be used as a substitute in certain situations. Based on another study, the threshold of 5% and 25% can be used for risk stratification.","PeriodicalId":15868,"journal":{"name":"Journal of Gynecologic Oncology","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Gynecologic Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3802/jgo.2026.37.e1","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Objective: Rare studies focused on patients with incidental diagnosis of endometrial cancer (EC) after hysterectomy. We intended to construct a prediction model of lymph node metastasis (LNM) based on Fully-Connected Network (FC Network) for these patients.

Methods: A total of 3,920 cases of EC that met the criteria from Obstetrics & Gynecology Hospital of Fudan University between January 2016 and February 2023 and 1995 cases from Fudan University Shanghai Cancer Center between January 2013 and October 2020 were retrospectively included for the construction of a predicting model which was based on FC Network. At the same time, 572 cases were prospectively collected for external validation.

Results: The sensitivity of the model was 0.946. Lympho-vascular space invasion, myometrial invasion, tumor grade, microcystic elongated and fragmented invasion, progesterone receptor, and cancer antigen 125 were used to construct a simplified nomogram. The area under the curve of the nomogram was 0.890 and 0.885 in validation and prospective cohorts, respectively.

Conclusion: The model we proposed has good sensitivity and can be used to predict the risk of LNM in patients with incidentally found EC. The simplified nomogram can be used as a substitute in certain situations. Based on another study, the threshold of 5% and 25% can be used for risk stratification.

查看原文本刊更多论文

基于全连接网络构建意外发现子宫内膜癌患者淋巴结转移预测模型

目的：对子宫切除术后意外诊断为子宫内膜癌的患者进行罕见的研究。我们拟建立一个基于全连接网络（FC Network）的患者淋巴结转移（LNM）预测模型。方法：回顾性分析复旦大学附属妇产科医院2016年1月至2023年2月收治的3920例符合标准的EC患者，以及复旦大学上海肿瘤中心2013年1月至2020年10月收治的1995例符合标准的EC患者，构建基于FC网络的预测模型。同时，前瞻性收集572例进行外部验证。结果：模型的灵敏度为0.946。采用淋巴血管间隙浸润、子宫肌层浸润、肿瘤分级、微囊性细长和碎片化浸润、孕激素受体和癌抗原125构建简化的形态图。验证组和前瞻性组的曲线下面积分别为0.890和0.885。结论：该模型具有良好的敏感性，可用于预测偶发癌患者发生LNM的风险。在某些情况下，简化的nomogram可用作代用。根据另一项研究，5%和25%的阈值可用于风险分层。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Gynecologic Oncology ONCOLOGY-OBSTETRICS & GYNECOLOGY

CiteScore

6.00

自引率

2.60%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Gynecologic Oncology (JGO) is an official publication of the Asian Society of Gynecologic Oncology. Abbreviated title is ''J Gynecol Oncol''. It was launched in 1990. The JGO''s aim is to publish the highest quality manuscripts dedicated to the advancement of care of the patients with gynecologic cancer. It is an international peer-reviewed periodical journal that is published bimonthly (January, March, May, July, September, and November). Supplement numbers are at times published. The journal publishes editorials, original and review articles, correspondence, book review, etc.