Pixel-wise correlation among DCE/DSC metrics in brain tumor with Multitasking-based dynamic imaging for cerebrovascular evaluation (MT-DICE)

Motivation: DCE and DSC-derived Ktrans, ve, CBV, and kio are measures of microcirculatory function, perfusion, and water channel in brain tumors. They have shown clinical values in tumor grading, treatment response, and prognosis evaluation. However, their pixel-wise inter-correlation remains unclear, partially due to separate scans in conventional protocol or having one of them omitted. Goal(s): To investigate the pixel-wise correlation of Ktrans, ve, CBV, and kio in patients with brain tumors using MT-DICE. Approach: The multiparametric maps simultaneously quantified by MT-DICE were analyzed pixel-by-pixel within the slice showing the largest enhancing tumor. Results: Ktrans and ve correlate well with kio in the spatial distribution. Impact: MR multitasking-based dynamic imaging for cerebrovascular evaluation (MT-DICE) provides spatial quantitative maps of BBB permeability, tumor perfusion, and water channel. The information helps better understand intra-tumor heterogeneity and may assist in selecting biopsy sites and precisely monitoring treatment response.