Diagnostic Accuracy of Artificial Intelligence for Predicting MGMT Promoter Methylation in Glioblastoma Using MR Imaging: A Systematic Review

Puntos clave

• This research aims to assess how accurately AI models predict MGMT promoter methylation status in glioblastoma using MRI imaging.
• Conducted a systematic review of existing AI models for predicting MGMT methylation in glioblastoma.
• Analyzed the diagnostic accuracy of AI algorithms in conjunction with MRI imaging.
• Evaluated studies that compare AI prediction outcomes to traditional invasive testing methods.
• Identified varying levels of accuracy across different AI models.
• Many AI algorithms demonstrate promising results in predicting MGMT methylation status non-invasively.
• Some models approach or exceed the accuracy of traditional methods, indicating potential clinical utility.