Table 2.
Subject | WM left | WM right | GM left | GM right | WTV | NEC | GDCE | ED |
---|---|---|---|---|---|---|---|---|
V1 | 15 | 12 | 14 | 14 | ||||
V2 | 11 | 10 | 12 | 13 | ||||
V3 | 6 | 7 | 10 | 9 | ||||
LGG1 | 10 | 9 | 109 | |||||
LGG2 | 7 | 8 | 201 | |||||
HGG1 | 10 | 12 | 316 | 3 | 70 | 244 | ||
HGG2 | 9 | 14 | 422 | 38 | 126 | 266 | ||
HGG3 | 8 | 12 | 252 | 48 | 153 | 53 | ||
HGG4 | 9 | 12 | 339 | 48 | 90 | 204 | ||
HGG5 | 8 | 8 | 246 | 69 | 173 | 13 |
Given are the number of voxels within a region-of-interest (ROI) after mapping onto the phosphorus magnetic resonance spectroscopic imaging (31P MRSI) grid. White matter (WM) and gray matter (GM) ROIs were defined on both hemispheres for the volunteers (V1–V3), but only on the contralateral hemisphere for the patients (LGG1–HGG5). For the patients with low-grade glioma (LGG1 and LGG2), only the whole tumor volume (WTV) ROI was segmented. Note that in the case of patients with high-grade glioma (HGG1–HGG5), the number of voxels within the mapped WTV ROIs (defined as union of the individual segments on morphology) is not necessarily the sum of voxels in the separately mapped necrosis (NEC), gadolinium contrast enhancement (GDCE) and edema (ED) ROIs, because of voxel assignments to multiple ROIs by the mapping algorithm in some cases.