Table 2.
Pathophysiological significance of radiomic features which possibly reflect biological traits of GBM and can be captured on MRI.
Feature category | Descriptor | Intuitive description | Relevance to GBM pathophysiology |
---|---|---|---|
Laws features | E5, L5, S5, R5 (combination in both X and Y directions) | E- Edges, L- Level, S- Spots, R- Ripples | Accounting for characteristic qualitative appearance of wave, ripple, edge and spots within an ROI |
Gabor features | frequency (0, 4, or 16) and orientation (45°, 90°, 135°, 180°) | This filter bank has characteristics of spatial locality and orientation selectivity | Captures the prominent direction in which the intensity changes occur |
Haralick features | Inverse difference moment (IDM) | IDM is a reflection of the presence or absence of uniformity, and hence is a measure of local regions of homogeneity High IDM: Higher presence of locally uniform windows in GLCM. Low IDM: Higher presence of locally heterogeneous windows in GLCM | Captures the underlying lesion heterogeneity |
Correlation | Quantifies the linear patterns in an image based on the distance parameter. | Increased presence of linear patterns yield higher correlation values, lack of image linearity yield lower correlation values | |
Sum Entropy | Measure of GLCM relationship to distribution of intensity with respect to entropy (measure of disorder) | Higher entropy is indicative of more chaotic arrangement in areas of high viable cell population | |
Sum Variance | Measure of GLCM relationship to distribution of intensity with respect to variance. High sum variance: greater standard deviation of sum average. Low sum variance: low standard deviation of sum average | Possibly accounting for greater variation of scattered atypia and local accumulation of mitotic processes as observed on histopathology. |