A machine learning model for predicting lymph node positivity in ovarian cancer: development, validation, and clinical application

A machine learning model for predicting lymph node positivity in ovarian cancer: development, validation, and clinical application

BackgroundOvarian cancer (OC) remains a highly lethal gynecological malignancy, often diagnosed at advanced stages with a poor prognosis. Lymph node involvement is a critical prognostic factor and significantly influences treatment planning. However, accurately predicting lymph node positivity remai...

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Bibliographic Details
Main Authors: QingYong Guo, Jinji Wang, Ru Chen, LiPing Hu, Wenqiang You
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Oncology
Subjects:
ovarian cancer
lymph node positivity
machine learning
XGBoost
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1527674/full
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