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. 2018 Mar;19(3):211–217. doi: 10.1631/jzus.B1700119

Table 1.

Optimal percentage and diagnostic performance of each cut-off value for the ROC AUC more than 0.7

Cut-off (HU) ROC AUC Optimal percentage (%) Specificity (%) Sensitivity (%) Accuracy (%)
350 0.748 1.2 75.8 66.1 69.7
400 0.778 8.5 81.8 66.1 71.9
450 0.779 4.4 81.8 66.1 71.9
500 0.754 20.3 78.8 66.1 70.8
550 0.781 23.9 81.8 62.5 69.7
600 0.786 68.8 57.6 85.7 75.3
650 0.774 53.7 72.7 69.6 70.8
700 0.780 68.1 75.8 71.4 73.0
750 0.771 93.1 57.6 83.9 74.2
800 0.791 93.8 66.7 80.4 75.3
850 0.781 95.1 72.7 76.8 75.3
900 0.777 99.2 72.7 75.0 74.2
950 0.729 90.3 81.8 60.7 68.5
1000 0.728 82.2 90.9 53.6 67.4
1050 0.738 93.6 90.9 60.7 71.9
1100 0.759 96.8 90.9 58.9 70.8
1150 0.758 98.4 93.9 57.1 70.8
1200 0.750 99.0 93.9 55.4 69.7
1250 0.717 98.2 93.9 48.2 65.2

ROC: operating characteristic; AUC: area under curve