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. 2021 Jul 19;11(7):1296. doi: 10.3390/diagnostics11071296

Table 2.

Numbers and percentages of features affected by the delineation method (VOIvital-tumour vs. VOIgross-tumour) per feature class for the different cohorts and both cohorts together. Differences in the number of affected features between cohorts were assessed using the Fisher’s exact test. NSCLC: non-small cell lung carcinoma, PPGL: pheochromocytoma and paraganglioma, GLCM: grey level cooccurrence 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) NSCLC (n = 12) PPGL (n = 31) p-Value
First order (18) 17 (94%) 13 (72%) 16 (89%) 0.402
Shape (14) 11 (79%) 7 (50%) 7 (50%) 1.000
Texture (73) 58 (79%) 48 (66%) 60 (82%) 0.024
GLCM (22) 15 (68%) 12 (55%) 15 (68%) 0.537
GLRLM (16) 15 (94%) 12 (75%) 15 (94%) 0.333
GLSZM (16) 12 (75%) 11 (69%) 13 (81%) 0.685
GLDM (14) 12 (86%) 9 (64%) 13 (93%) 0.165
NGTDM (5) 4 (80%) 4 (80%) 4 (80%) 1.000
Total (105) 86 (82%) 68 (65%) 83 (79%) 0.031