Table 5. Predictive performance for identifying high- and low-grade EA.
| Parameters | AUC (95%CI) | P value | Cutoff | Sensitivity | Specificity |
|---|---|---|---|---|---|
| MTRasym (3.5 ppm) (%) | 0.782 (0.683–0.862) | <0.001 | 3.340 | 91.67% (83/88) | 59.09% (83/88) |
| ADC (×10−3 mm2/s) | 0.722 (0.617–0.811) | <0.001 | 0.895 | 87.50% (83/88) | 48.48% (57/88) |
| D (×10−3 mm2/s) | 0.833 (0.740–0.903) | <0.001 | 0.666 | 66.67% (57/88) | 93.94% (74/88) |
| D* (×10−3 mm2/s) | 0.510 (0.402–0.617) | 0.875 | – | – | – |
| f (%) | 0.707 (0.602–0.821) | <0.001 | 2.760 | 87.50% (83/88) | 54.55% (57/88) |
| DDC (×10−3 mm2/s) | 0.735 (0.632–0.823) | <0.001 | 1.037 | 62.50% (18/20) | 80.30% (17/20) |
| α | 0.777 (0.677–0.858) | <0.001 | 0.855 | 83.33% (18/20) | 68.18% (18/20) |
| MTRasym (3.5 ppm) + D | 0.892 (0.809–0.948) | <0.001 | – | 95.83% (18/20) | 66.67% (18/20) |
MTRasym (3.5 ppm), magnetization transfer ratio asymmetry; ADC, apparent diffusion coefficient; D, diffusion coefficient; D*, pseudo-diffusion coefficient; f, perfusion fraction; DDC, distributed diffusion coefficient; α, water molecular diffusion heterogeneity index; AUC, area under the receiver operating characteristic curve. The AUC comparison between the prediction model and different parameters were as follows: MTRasym (3.5ppm), Z=2.512, P=0.012; ADC, Z=3.818, P=0.001; D, Z=1.753, P=0.079; f, Z=3.229, P=0.001; DDC, Z=3.052, P=0.002; α, Z=2.433, P=0.015.