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. 2015 Aug 24;42(9):5479–5489. doi: 10.1118/1.4928479

TABLE IV.

Classification performance comparison between different combinations of curvature and image features.

Performance comparison				Difference in AUC
Feature list	AUC_L	Feature list	AUC_R	AUC_L − AUC_R [95% CI]	p-value
[S3 S6 M2 T1 M3]	0.83	[S3 S6 M2 T1 M3] + [C_T]	0.86	−0.029 [−0.071,0.012]	0.166
[M2] + [C_T]	0.81	[S3 S6 M2 T1 M3]	0.83	−0.021 [−0.1,0.063]	0.627
		[S3 S6 M2 T1 M3] + [C_T]	0.86	−0.05 [−0.12,0.018]	0.152
[M2]	0.73	[M2] + [M3]	0.74	−0.007 [−0.046,0.033]	0.746
				[M2] + [S3 S6]	0.78	−0.054 [−0.12,0.013]	0.115
				[M2] + [T1]	0.74	−0.007 [−0.05,0.031]	0.642
				[M2] + [C_T]	0.81	−0.083 [−0.16,−0.005]	0.037^a
		[C_T]	0.74	[C_T] + [S3 S6]	0.78	−0.039 [−0.14,0.066]	0.465
				[C_T] + [T1]	0.73	0.007 [−0.024,0.038]	0.667
				[C_T] + [M2 M3]	0.82	−0.079 [−0.17,0.008]	0.076
				[C_T] + [T1 M2 M3]	0.83	−0.093 [−0.18,−0.004]	0.04^a
				[C_T] + [S3 S6 M2 M3]	0.83	−0.088 [−0.17,−0.005]	0.037^a
				[C_T] + [S3 S6 M2 M3 T1]	0.86	−0.12 [−0.22,−0.03]	0.009^a

^{^a}

Statistically significant (p-value < 0.05).