Our latest work on the prediction of the most common molecular subtypes of pediatric low-grade gliomas (pLGG) using MRI-based radiomics, published in European Radiology. This is an important step towards noninvasvie molecular diagnosis of pLGG, with significant potential for prognostication and individualized treatment strategies for patients with pLGG. Also, we have mapped radiomic features onto a nomogram to make it easier for clinicians to use and trust the model.