Suh CH, et al. - In systematic review and meta-analysis, 1,182 subjects were analyzed to predict MRI as a diagnostic biomarker for differentiating primary central nervous system lymphoma (PCNSL) from glioblastoma. They used hierarchical logistic regression modeling to obtain pooled sensitivity and specificity. A high overall diagnostic performance with pooled sensitivity of 91% and specificity of 89% was demonstrated in MRI sequences. They also recorded high diagnostic performance with sensitivity of 93% and specificity of 91% using dynamic susceptibility-weighted contrast-enhanced imaging or arterial spin labeling. They observed magnetic field strength was a significant factor affecting the study heterogeneity (only detected in specificity).