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. Author manuscript; available in PMC: 2022 Mar 1.
Published in final edited form as: Comput Methods Programs Biomed. 2020 Nov 13;200:105839. doi: 10.1016/j.cmpb.2020.105839

Table 4:

Twenty highly correlated features with radiologist’s spiculation score in univariate analysis. Ts: the threshold to binarize the radiologist’s spiculation score

Rank Feature name AUC Corr
Ts > 1 Ts > 2 Ts > 3 Average ρ
1 Ns 0.73 0.79 0.81 0.78 0.44
2 Roundness(mesh) 0.73 0.83 0.82 0.79 −0.44
3 SD LRE 0.74 0.80 0.76 0.77 −0.44
4 Mean ϵ 0.72 0.80 0.81 0.77 −0.41
5 Minimum ϵ 0.72 0.79 0.79 0.77 −0.41
6 Mean LRLGE 0.72 0.76 0.75 0.74 −0.40
7 SD LRLGE 0.71 0.77 0.77 0.75 −0.39
8 Weighted Principal Moment 1 0.71 0.76 0.78 0.75 0.39
9 Median ϵ 0.71 0.79 0.79 0.76 −0.39
10 Variance ϵ 0.70 0.78 0.79 0.76 0.39
11 Maximum ϵ 0.71 0.77 0.78 0.75 0.38
12 SD CS 0.71 0.73 0.71 0.72 −0.38
13 2D Weighted Principal Moment 1 0.71 0.74 0.76 0.73 0.37
14 s1 0.70 0.77 0.79 0.75 −0.37
15 SD LGRE 0.70 0.73 0.73 0.72 −0.36
16 2D Roundness(voxel) 0.68 0.78 0.77 0.74 −0.34
17 s2 0.68 0.75 0.77 0.73 0.34
18 SD SRLGE 0.68 0.72 0.71 0.70 −0.33
19 Mean Energy 0.69 0.69 0.66 0.68 −0.33
20 2D Sum 0.67 0.72 0.73 0.71 −0.32