Neuro / Head & NeckAI / InformaticsResearch
CEST MRI and ML-based segmentation predict MGMT methylation in high-grade gliomas
Frontiers in oncology2w ago
Fluid-suppressed CEST MRI and ML segmentation predict MGMT methylation in high-grade gliomas: max APTw in enhancing tumor and necrosis achieved AUC 0.76-0.82, sensitivity up to 100% in a 44-patient study.
- In 44 patients (24 MGMT methylated), fluid-suppressed CEST metrics differed significantly: higher APTw and CEST@2ppm values in non-methylated tumors, particularly in necrosis and enhancing tumor with ML-based segmentation.
- Best AUC for predicting MGMT methylation: max APTw in enhancing tumor and necrosis (0.76–0.82); max CEST@2ppm in enhancing tumor and necrosis (0.67–0.85). Sensitivity (69–100%) exceeded specificity (59–82%).
- Small single-center study; findings require validation in larger multicenter cohorts.
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