1naresh2naresh
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Texture Parameter Benign Nodes (n = 39) Malignant Nodes (n = 22) P Valuea Cutoff AUCb (GLIMMROC) Mean SD Mean SD Node characteristics Size (cm) 1.439 0.048 1.687 0.831 .079 DNC 0.643 Volume (cm3) 1.122 0.147 3.468 4.718 .001c >2.599 0.702 SUVmax 3.228 0.315 6.438 4.811 .007c >3.980 0.731 Histogram Mean 670.6 68.4 751.8 137.3 .022c >738.1 0.705 Geometric mean 225.9 50.6 297.6 124.5 .020c >257.5 0.667 Harmonic mean 24.12 4.21 29.57 9.42 .020c >25.5 0.678 IQR 1064.3 63.9 865.0 360.2 .022c <1017.0 0.723 Fourth moment 8.71E+10 5.74E+09 9.41E+10 1.00E+10 .018c >9.38E+10 0.698 GLCM Contrast 102.5 18.2 81.8 28.3 .015c <75.7 0.754 Energy 0.041 0.022 0.072 0.055 .034c >0.058 0.712 Homogeneity 0.475 0.056 0.541 0.104 .029c >0.528 0.735 GLRL SRE 0.164 0.011 0.154 0.019 .036c <0.153 0.695 RLN 0.183 0.014 0.170 0.023 .034c <0.172 0.698 RHGE 254.2 77.2 367.0 193.6 .016c >305.4 0.739 LRLGE 322.6 91.4 469.8 231.9 .006c >397.1 0.759 LRHGE 246.2 60.5 352.7 168.8 .003c >340.9 0.760d Laws features L1 1,130,272.9 280,670.9 876,676.6 413,942.2 .024c <911,080.5 0.722
Note:—DNC indicates did not converge; IQR, interquartile range; GLIMMROC, generalized linear mixed model receiver operating characteristic.
↵a Indicates a significant difference by the mixed linear regression model (Proc MIXED) to adjust the variance-covariance matrix among multiple values recorded for each patient (P < .05).
↵b Using the generalized linear mixed model (GLIMMROC).
↵c Significant.
↵d The highest AUC among 41 texture features.