Differentiation of @entity5 pathology currently relies on interpretation of conventional structural MRI and in some cases histology. However, more advanced MRI methods may provide further insight into the organization of @entity5 and have the potential to aid diagnosis. The objective of this study was to use multimodal quantitative MRI to measure the imaging signatures of @entity1653 and @entity11 ( @entity11 ). Nine adults with @entity1653 and 11 with @entity11 were identified, and underwent standard structural, quantitative longitudinal relaxation time (T1) mapping, magnetization transfer and diffusion tensor MRI. Maps of mean (   D   ), axial (  AX) and radial (  RAD) diffusivity, fractional anisotropy (FA), magnetization transfer ratio (MTR) and T1 were generated on a voxel-by-voxel basis. Using structural and echo-planar T2-weighted MRI, manual region-of-interest segmentation of @entity1313 , @entity4 , ipsilateral and contralateral normal-appearing white matter (NAWM) was performed. Differences in imaging signatures between the different tissue types, both absolute mean values and ratios relative to contralateral NAWM, were assessed using t-tests with statistical significance set at p<0.05. For both absolute mean values and ratios relative to contralateral NAWM, there were significant differences in    D   ,   AX,   RAD, FA, MTR and T1 between @entity1653 and @entity5 tissue, respectively. Only T1 and FA differed significantly between @entity4 tissue associated with the two @entity5 types. These results suggest that multimodal MRI biomarkers are significantly different, particularly in @entity5 tissue, between @entity1653 and @entity11 . By using quantitative multimodal MRI it may be possible to identify @entity5 pathology non-invasively.

Imaging signatures of @entity1653 and XXXX : a diffusion tensor, magnetization transfer and quantitative longitudinal relaxation time MRI study.

@entity1313 :: ('MESH:D001932', 'Disease') :: ['brain tumor'] @entity5 :: ('MESH:D009369', 'Disease') :: ['tumor', 'cerebral tumor', 'LGG tumor', 'cerebral tumors'] @entity4 :: ('MESH:D004487', 'Disease') :: ['edematous', 'edema'] @entity11 :: ('MESH:D005910', 'Disease') :: ['low-grade glioma', 'LGG'] @entity1653 :: ('MESH:D008579', 'Disease') :: ['meningioma']
@entity11 :: (MESH:D005910,Disease) :: ['low-grade glioma']
