Predicting the efficacy of chemoradiotherapy in advanced nasopharyngeal carcinoma patients: an MRI radiomics and machine learning approach

Predicting the efficacy of chemoradiotherapy in advanced nasopharyngeal carcinoma patients: an MRI radiomics and machine learning approach

BackgroundMachine learning methods play an important role in predicting the efficacy of chemoradiotherapy in patients with nasopharyngeal carcinoma (NPC). This study explored the predictive value of machine learning models based on multimodal magnetic resonance imaging (MRI) radiomic features for th...

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Bibliographic Details
Main Authors: Liucheng Chen, Zhiyuan Wang, Ji Zhang, Ying Meng, Xuelian Wang, Cancan Zhao, Longshan Shen
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Oncology
Subjects:
nasopharyngeal carcinoma
radiomics
machine learning
efficacy prediction
magnetic resonance imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1554899/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1554899/full

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