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. 2022 Jul 21;12:907860. doi: 10.3389/fonc.2022.907860

Table 5.

ROC analysis of the diagnostic performance for different parameters and methods alone or in combination for distinguishing benign and malignant groups, and distinguishing AC and SCC groups.

Parameters Cutoff AUC P Value Youden index Accuracy Sensitivity Specificity 95%CI
Benign and Malignant groups
ADC(μm2/ms) 1.36 0.760 <0.0001 0.3974 74.1 80.00 59.74  0.670 - 0.836
μ(μm) 5.85 0.824 <0.0001 0.5818 72.3 82.86 75.32  0.741 - 0.890
D(μm2/ms) 1.53 0.821 <0.0001 0.5221 73.2 74.29 77.92  0.737 - 0.887
β 0.69 0.585 0.1534 / / / /  0.488 - 0.677
SUVmax 6.85 0.801 <0.0001 0.5714 72.3 85.71 71.43  0.715 - 0.870
μ + D 0.66 0.825 <0.0001 0.5818 71.4 82.86 75.32  0.742 - 0.890
Combined Diagnosis a 0.79 0.872 <0.0001 0.6727 76.8 97.14 70.13  0.796 - 0.928
AC and SCC groups
ADC(μm2/ms) 1.51 0.747 <0.0001 0.3850 69.2 42.50 96.00  0.624 - 0.847
μ(μm) 7.33 0.911 <0.0001 0.7000 83.1 90.00 80.00  0.814 - 0.967
D(μm2/ms) 1.43 0.897 <0.0001 0.6500 80.0 85.00 80.00  0.796 - 0.959
β 0.73 0.664 0.0162 0.3050 64.6 42.50 88.00  0.536 - 0.776
SUVmax 12.36 0.648 0.0413 0.2900 66.2 85.00 44.00  0.520 - 0.762
μ + β + D 0.58 0.908 <0.0001 0.7100 84.6 95.00 76.00  0.810 - 0.966
Combined Diagnosis b 0.42 0.922 <0.0001 0.7400 86.2 90.00 84.00  0.828 - 0.974
a

The combined diagnosis represents μ + D + ADC + SUVmax.

b

The combined diagnosis represents μ + β + D + ADC + SUVmax.

AUC, Area Under the Curve.