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Radiomics-Based Method for Predicting the Glioma Subtype as Defined by Tumor Grade, IDH Mutation, and 1p/19q Codeletion

31 Mar 2022

Abstract excerpt

Gliomas are among the most common types of central nervous system (CNS) tumors. A prompt diagnosis of the glioma subtype is crucial to estimate the prognosis and personalize the treatment strategy. The objective of this study was to develop a radiomics pipeline based on the clinical Magnetic Resonance Imaging (MRI) scans to noninvasively predict the glioma subtype, as defined based on the tumor grade, isocitrate...

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Ferroptosis and cancer prognosis
Glioma Diagnosis and Treatment
Radiomics and Machine Learning in Medical Imaging

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 35406550
DOI: 10.3390/cancers14071778

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