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The Performance of Machine Learning for Prediction of H3K27 M Mutation in Midline Gliomas: A Systematic Review and Meta-Analysis.

World neurosurgery - 1 Jun 2024

Habibi Mohammad Amin, Aghaei Fateme, Tajabadi Zohreh, Mirjani Mohammad Sina, Minaee Poriya, Eazi SeyedMohammad

Abstract excerpt

BACKGROUND: Diffuse midline gliomas (DMGs) encompass a set of tumors, and those tumors with H3K27 M mutation carry a poor prognosis. In recent years, machine learning (ML)-based radiomics have shown promising results in predicting gene mutation status non-invasively. Therefore, this study aims to comprehensively evaluate the diagnostic performance of ML-based magnetic resonance imaging radiomics in predicting...

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PMID: 37995996
DOI: 10.1016/j.wneu.2023.11.061

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