We investigated that whether arterial input functions (AIFs) obtained from Dynamic susceptibility-contrast (DSC)-MRI, or AIFDSC 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 (AIFDCE). This study demonstrated that AIFDSC –driven DCE parameters had better diagnostic accuracy and reliability for the differential diagnosis than those from AIFDCE. In addition, the AIFDSC-driven mean Ktrans showed better accuracy than the other DCE parameters and rCBV in the discrimination of GBM without marked vascularity from PCNSL.
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