Development and validation of a machine learning model to predict the risk of lymph node metastasis in early-stage supraglottic laryngeal cancer

Development and validation of a machine learning model to predict the risk of lymph node metastasis in early-stage supraglottic laryngeal cancer

BackgroundCervical lymph node metastasis (LNM) is a significant factor that leads to a poor prognosis in laryngeal cancer. Early-stage supraglottic laryngeal cancer (SGLC) is prone to LNM. However, research on risk factors for predicting cervical LNM in early-stage SGLC is limited. This study seeks...

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Bibliographic Details
Main Authors: Hongyu Wang, Zhiqiang He, Jiayang Xu, Ting Chen, Jingtian Huang, Lihong Chen, Xin Yue
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Oncology
Subjects:
big data
precision medicine
early-stage supraglottic laryngeal cancer
lymph node metastasis
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1525414/full
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