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. 2022 May;14(5):1342–1352. doi: 10.21037/jtd-21-1948

Table 2. Cutoff values of radiomics features for predicting thymic carcinoma and mean value in the binarized groups.

Features Cut-off value Mean ± SD
Volume
   Score =0 (n=26) 10.1±7.9
   Score =1 (n=35) >23.6 114.8±116.7
Ratio (major axis length/minor axis length)
   Score =0 (n=26) 1.9±0.4
   Score =1 (n=35) <1.60 1.4±0.2
Compactness
   Score =0 (n=26) 14.6±1.0
   Score =1 (n=35) >16.1 21.5±6.3
Solidity
   Score =0 (n=26) 0.95±0.01
   Score =1 (n=35) <0.92 0.85±0.06
Minor axis length
   Score =0 (n=39) 22.8±7.8
   Score =1 (n=22) >34.4 47.6±8.8
GLCM-energy
   Score =0 (n=39) 0.23±0.04
   Score =1 (n=22) >0.29 0.36±0.04
GLCM-homogeneity
   Score =0 (n=33) 0.92±0.01
   Score =1 (n=28) >0.93 0.94±0.01
LZHGE
   Score =0 (n=34) 4.78×105±6.05×105
   Score =1 (n=27) >1.71×106 5.64×106±3.76×106
Kurtosis
   Score =0 (n=37) 2.1±0.5
   Score =1 (n=24) >2.83 4.6±2.1

SD, standard deviation; GLCM, gray-level co-occurrence matrix; LZHGE, long-zone high-grey level emphasis.