Key clinical point: A novel radiomic model may improve prognostication and clinical decision-making by accurately predicting meningioma grade in patients with low- to high-grade disease.
Major finding: A model combining conventional MRI, apparent diffusion coefficient maps, and susceptibility weighted imaging was the best-performing model, with an area under the curve of 0.81 with subsampling and 0.84 without subsampling.
Study details: A retrospective analysis of 316 patients with meningioma who underwent preoperative MRI assessment.
Disclosures: No funding sources were reported. The authors reported having no conflicts of interest.
Hu J et al. Eur J Radiol. 2020 Aug 28. doi: 10.1016/j.ejrad.2020.109251.