Table 4.
Numbers and percentages of features affected by the delineation method (VOIvital-tumour vs. VOIgross-tumour) per feature class for the different subgroups based on SUVmax. Differences in the number of affected features between subgroups were assessed using the Fisher’s exact test. SUVmax: maximum standardised uptake value, GLCM: grey level co-occurrence matrix, GLRLM: grey level run length matrix, GLSZM: grey level size zone matrix, GLDM: grey level dependence matrix, NGTDM: neighbouring grey tone difference matrix.
| Feature Class | All (n = 43) |
Low SUVmax (SUVmax ≤ 4.61, n = 14) |
Medium SUVmax (4.61 < SUVmax ≤ 12.09, n = 15) |
High SUVmax (SUVmax > 12.09, n = 14) |
p-Value |
|---|---|---|---|---|---|
| First order (18) | 17 (94%) | 14 (78%) | 15 (83%) | 16 (89%) | 0.898 |
| Shape (14) | 11 (79%) | 4 (29%) | 5 (36%) | 4 (29%) | 1.000 |
| Texture (73) | 58 (79%) | 41 (56%) | 49 (67%) | 53 (73%) | 0.106 |
| GLCM (22) | 15 (68%) | 15 (68%) | 12 (55%) | 12 (55%) | 0.610 |
| GLRLM (16) | 15 (94%) | 9 (56%) | 13 (81%) | 15 (94%) | 0.051 |
| GLSZM (16) | 12 (75%) | 7 (44%) | 11 (69%) | 12 (75%) | 0.249 |
| GLDM (14) | 12 (86%) | 8 (57%) | 9 (64%) | 10 (71%) | 0.919 |
| NGTDM (5) | 4 (80%) | 2 (40%) | 4 (80%) | 4 (80%) | 0.500 |
| Total (105) | 86 (82%) | 59 (56%) | 69 (66%) | 73 (70%) | 0.120 |