Guo CG, et al. - Data were retrospectively quantified to evaluate the prediction of the histopathologic grade of pancreatic neuroendocrine tumors (PNETs) using magnetic resonance imaging (MRI) findings and texture analysis with 3-T magnetic resonance. Higher frequencies of an ill-defined margin, predominantly solid tumor type, local invasion or metastasis, hypo-enhancement at the arterial phase, and restriction diffusion. were observed among Grade 2 (G2)/Grade 3 (G3) tumors when compared with Grade 1 (G1). Statistical significance among PNETs was presented by four T2-based viz, inverse difference moment, energy, correlation, and differenceEntropy and 5 diffusion-weighted imaging (DWI)-based ie, correlation, contrast, inverse difference moment, max intensity, and entropy texture analysis (TA) parameters.