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Diagnostic performance of radiomics using machine learning algorithms to predict MGMT promoter methylation status in glioma patients: a meta-analysis

20 Nov 2021

Abstract excerpt

PURPOSE: We aimed to assess the diagnostic performance of radiomics using machine learning algorithms to predict the methylation status of the O6-methylguanine-DNA methyltransferase (MGMT) promoter in glioma patients. METHODS: A comprehensive literature search of PubMed, EMBASE, and Web of Science until 27 July 2021 was performed to identify eligible studies. Stata SE 15.0 and Meta-Disc 1.4 were used for data...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 34792025
DOI: 10.5152/dir.2021.21153

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