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Article

From pixels to prognosis: leveraging radiomics and machine learning to predict IDH1 genotype in gliomas.

Neurosurgical review - 29 Apr 2025

Karakas Asli Beril, Govsa Figen, Ozer Mehmet Asim, Biceroglu Huseyin, Eraslan Cenk, Tanir Deniz

Abstract excerpt

Gliomas are the most common primary tumors of the central nervous system, and advances in genetics and molecular medicine have significantly transformed their classification and treatment. This study aims to predict the IDH1 genotype in gliomas using radiomics and machine learning (ML) methods. Retrospective data from 108 glioma patients were analyzed, including MRI data supported by demographic details such as...

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Brain Neoplasms
Glioma
Isocitrate Dehydrogenase
Machine Learning
Magnetic Resonance Imaging

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 40299088
DOI: 10.1007/s10143-025-03515-z
PMCID: PMC12040993

Genes

IDH1

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

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