Table 2.

Univariate analysis of radiomics features of PVAT among non-growing and growing AAA

Variables	Non-growing AAA	Growing AAA	p-value
Shape features
Surface area to volume ratio	0.63 ± 0.14	0.70 ± 0.13	0.04
Grey-level co-occurrence matrix features
Correlation	0.53 ± 0.07	0.50 ± 0.05	0.04
Informational measure of correlation 1	0.14 ± 0.03	0.13 ± 0.02	0.03
Inverse variance	0.46 ± 0.02	0.47 ± 0.02	0.04
Maximal correlation coefficient	0.63 ± 0.11	0.57 ± 0.08	0.04
Maximum probability	0.22 ± 0.04	0.20 ± 0.04	0.03
Grey-level dependence matrix features
Dependence non-uniformity normalised	0.05 ± 0.01	0.06 ± 0.005	0.02
Dependence variance	29.88 ± 4.51	26.96 ± 4.13	0.01
Large dependence emphasis	141.17 ± 27.97	124.55 ± 22.08	0.02
Grey-level run length matrix features
Long run emphasis	4.76 ± 1.00	4.20 ± 0.78	0.01
Run length non-uniformity normalised	0.50 ± 0.05	0.52 ± 0.04	0.01
Run percentage	0.64 ± 0.04	0.66 ± 0.03	0.01
Run variance	1.80 ± 0.53	1.50 ± 0.42	0.01
Short run emphasis	0.72 ± 0.04	0.74 ± 0.03	0.04

PVAT perivascular adipose tissue, AAA abdominal aortic aneurysm