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Magnetic resonance spectroscopic imaging (MRSI) has been explored for decades in brain tumor imaging, but clinical adoption has been limited due to long scan times and low signal clarity. Researchers at the University of Illinois Urbana-Champaign recently reported a novel MRSI technique that combines ultrafast data acquisition with machine learning-powered image reconstruction. Their method reduces whole-brain scan time to just 12.5 minutes while significantly enhancing image resolution and metabolite signal quality—making metabolic imaging much more feasible in clinical workflows. Other leading centers, including Cornell, Emory, and the University of Miami, are also advancing MRSI technology, and we hope to see this translate to improved routine clinical care for glioma patients.