Differentiation of glioblastoma and lymphoma: Improvement in Accuracy and Reliability of DCE Parameters by Using AIF Obtained from DSC-MRI

We investigated that whether arterial input functions (AIFs) obtained from Dynamic susceptibility-contrast (DSC)-MRI, or AIF_DSC values, improved reliability and diagnostic accuracy of DCE parameters, for differentiating glioblastoma (GBM) from primary CNS Lymphoma (PCNSL), compared with AIFs derived from DCE-MRI (AIF_DCE). This study demonstrated that AIF_DSC –driven DCE parameters had better diagnostic accuracy and reliability for the differential diagnosis than those from AIF_DCE. In addition, the AIF_DSC-driven mean K_trans showed better accuracy than the other DCE parameters and rCBV in the discrimination of GBM without marked vascularity from PCNSL.