. 2019 Jul 9;9(18):5374–5385. doi: 10.7150/thno.34149

Table 2.

Univariate analysis and correlation test for radiomics features used in the SVM model for the training group

Radiomics features	Training group (n=106)		P	Correlation coefficient	P
Radiomics features	LNM	non-LNM	P	Correlation coefficient	P
HLH_GLCM_maxpr	0.2854 (0.2651 to 0.3175)	0.2665(0.2425 to 0.2805)	0.0164	0.2343	0.0156
LLH_GLCM_sosvh	1.0462 (0.9128 to 1.1260)	1.1206 (0.9829 to 1.1929)	0.0963	-0.1623	0.0965
HLL_GLCM_corrm	-0.0178 (-0.0212 to -0.0152)	-0.0146 (-0.0175 to -0.0115)	0.0629	-0.1815	0.0626
LLL_GLCM_denth	2.7902 (2.7389 to 2.8908)	2.9404 (2.8816 to 2.9863)	0.0014	-0.3112	0.0012
HLL_GLSZM_LGZE	0.0013 (0.0010 to 0.0014)	0.0018 (0.0014 to 0.0023)	0.0028	0.2920	0.0024

Note: The univariate analysis for radiomics features was applied by using the Mann-Whitney U test.

The correlation between radiomics features and the LN status was applied by using the Spearman rank correlation test.

All features were reported as median and 95% confidence interval.