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. 2020 Jul 2;12:176. doi: 10.3389/fnagi.2020.00176

TABLE 6.

Entorhinal cortex texture and volume in classifying MCI vs. MCIc.

MCI vs. MCIc ROC analysis AUC 95% CI P-value
Entorhinal cortex
Texture features
ASM 0.565 0.494–0.637 0.85
Contrast 0.583 0.510–0.657 0.028
Correlation 0.580 0.505–0.654 0.038
Variance 0.531 0.458–0.604 0.037
Sum average 0.591 0.520–0.662 0.036
Sum variance 0.527 0.451–0.603 0.475
Entropy 0.593 0.522–0.662 0.014
Cluster shade 0.696 0.632–0.759 0.032
Volume and thickness
Erc. volume 0.642 0.573–0.711 <0.001
Erc. thickness 0.670 0.603–0.737 <0.001
Features combination
Texture (ASM, correlation, variance, sum average, and cluster shade) 0.730 0.665–0.795 <0.001
Texture and Erc. volume 0.756 0.692–0.820 <0.001
Hippocampus
Hippocampal volume 0.685 0.617–0.753 <0.001

MCIc, mild cognitive impairment converter; ROC, receiver operating characteristic; AUC, area under curve, CI, confidence interval; ASM, angular second moment; Erc, entorhinal cortex.