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Article

MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting.

International journal of molecular sciences - 27 Oct 2020

Sakai Yu, Yang Chen, Kihira Shingo, Tsankova Nadejda, Khan Fahad, Hormigo Adilia, Lai Albert, Cloughesy Timothy, Nael Kambiz

Abstract excerpt

Patients with gliomas, isocitrate dehydrogenase 1 (IDH1) mutation status have been studied as a prognostic indicator. Recent advances in machine learning (ML) have demonstrated promise in utilizing radiomic features to study disease processes in the brain. We investigate whether ML analysis of multiparametric radiomic features from preoperative Magnetic Resonance Imaging (MRI) can predict IDH1 mutation status in...

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Identifiers

PMID: 33121211
DOI: 10.3390/ijms21218004
PMCID: PMC7662499

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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