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. Author manuscript; available in PMC: 2021 Jul 1.
Published in final edited form as: Eur Radiol. 2020 Feb 21;30(7):3759–3769. doi: 10.1007/s00330-020-06675-2

Table 2.

Significant correlations of radiomics features with immunoprofiling features in 48 HCCs

Marker Radiomics feature r FDR-adj p
CD3 Qualitative features
Tumour fat content − 0.41 0.019
CD31 Texture features
Pre variance 16 bins − 0.47 0.005
Pre information measure of correlation 2 16 bins −0.38 0.038
LAP maximal correlation 16 bins −0.52 0.003
Pre variance 64 bins −0.47 0.005
Quantitative features
ERLVP 0.37 0.023
CD68 Texture features
Pre variance 16 bins 0.33 0.047
Pre sum average 16 bins 0.41 0.018
Pre sum variance 16 bins 0.41 0.018
Pre sum average 64 bins 0.37 0.049
Pre sum variance 64 bins 0.42 0.017
EAP sum entropy 64 bins 0.45 0.049
Qualitative features
Mosaic appearance 0.40 0.023
Wash-in/wash-out 0.37 0.042
PD-L1 Texture features
ADC variance 64 bins 0.41 0.029
Quantitative features
ERPVP 0.42 0.015
ER LVP 0.47 0.005

Correlation coefficient coefficients (r) resulted from Spearman correlation analysis. p values were adjusted for multiple tests using a false discovery rate (FDR) adjustment

ADC = apparent diffusion coefficient, AUC = area under the curve, EAP = early arterial phase, ER = enhancement ratio, LAP = late arterial phase, LVP = late venous phase, PVP = portal venous phase