Modern pediatric imaging seeks to provide not only exceptional anatomic detail but also physiologic and metabolic information of the pathology in question with as little radiation penalty as possible. Hybrid PET/MR imaging combines exquisite softtissue information obtained by MR imaging with functional information provided by PET, including metabolic markers, receptor binding, perfusion, and neurotransmitter release data. In pediatric neuro-oncology, PET/MR imaging is, in many ways, ideal for follow-up compared with PET/CT, given the superiority of MR imaging in neuroimaging compared with CT and the lower radiation dose, which is relevant in serial imaging and long-term follow-up of pediatric patients. In addition, although MR imaging is the main imaging technique for the evaluation of spinal pathology, PET/MR imaging may provide useful information in several clinical scenarios, including tumor staging and follow-up, treatment response assessment of spinal malignancies, and vertebral osteomyelitis. This review article covers neuropediatric applications of PET/MR imaging in addition to considerations regarding radiopharmaceuticals, imaging protocols, and current challenges to clinical implementation. ABBREVIATIONS: DOPA ¼ dioxyphenylalanine; DOTATATE ¼ [tetrazetan-D-Phe1,Tyr3]-octreotate; FET ¼ fluoroethyltyrosine; mFBG ¼ meta-fluorobenzylguanidine; MIBG ¼ metaiodobenzylguanidine; LCH ¼ Langerhans cell histiocytosis; max ¼ maximum; MET ¼ methionine; SUV ¼ standard uptake value S erial imaging and radiation dose reduction should remain balanced in pediatric imaging. Repeat PET/CTs, especially in pediatric neuro-oncology, result in a considerable cumulative radiation dose and may increase the risk of secondary cancer. [1][2][3] The risk of radiation-induced malignancy is increased at exposures of .50-100 mSv. 2 A retrospective review of 78 pediatric patients found that the average cumulative dose from PET/CT during a 5-year period amounted to 78.9 mSV. 3 Meanwhile, reduction in the cumulative dose by PET/MR imaging has been reported to be as high as 50%-70% in pediatric lymphoma. [4][5][6] Further dose reduction may be achieved by lowering radiopharmaceutical doses with artificial intelligence-based algorithms, which is an area of active research and product development. 7,8