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,...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Mingjun Yu, Jinliang Liu, Wen Zhou, Xiao Gu, Shijia Yu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-03-01
Edice:	Scientific Reports
Témata:	Radiomics CD44 High-grade glioma Overall survival Machine learning
On-line přístup:	https://doi.org/10.1038/s41598-025-90128-7
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!