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MRI radiomics based on machine learning in high-grade gliomas as a promising tool for prediction of CD44 expression and overall survival

Abstract We aimed to predict CD44 expression and assess its prognostic significance in patients with high-grade gliomas (HGG) using non-invasive radiomics models based on machine learning. Enhanced magnetic resonance imaging, along with the corresponding gene expression and clinicopathological data,...

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Principais autores: Mingjun Yu, Jinliang Liu, Wen Zhou, Xiao Gu, Shijia Yu
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-03-01
Serier:Scientific Reports
Fag:
Radiomics
CD44
High-grade glioma
Overall survival
Machine learning
Online adgang:https://doi.org/10.1038/s41598-025-90128-7
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