There have been great efforts within the research community to develop noninvasive imaging techniques that can predict IDH mutation status in gliomas, including magnetic resonance spectroscopy (MRS)6–8, perfusion- and diffusion-weighted magnetic resonance imaging (MRI)9,10, and machine learning with conventional MRI5,11,12. The gene discussed is IDH1; the disease is glioma.