Interpretable machine learning models for predicting skip metastasis in cN0 papillary thyroid cancer based on clinicopathological and elastography radiomics features

Interpretable machine learning models for predicting skip metastasis in cN0 papillary thyroid cancer based on clinicopathological and elastography radiomics features

BackgroundSkip lymph node metastasis (SLNM) in papillary thyroid cancer (PTC) involves cancer cells bypassing central nodes to directly metastasize to lateral nodes, often undetected by standard preoperative ultrasonography. Although multiple models exist to identify SLNM, they are inadequate for cl...

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Bibliographic Details
Main Authors: Xiaohua Yao, Mingming Tang, Min Lu, Jie Zhou, Debin Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Oncology
Subjects:
papillary thyroid cancer
machine learning
clinically node-negative (cN0)
skip lymph node metastasis
radiomics
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1457660/full
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https://www.frontiersin.org/articles/10.3389/fonc.2024.1457660/full

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