Table 2.

Diagnostic ability of the developed models.

Model	Training cohort (n = 204)				Validation cohort (n = 88)
	AUC (95% CI)	ACC	SEN	SPE	AUC (95% CI)	ACC	SEN	SPE
Clinical model	0.841 (0.787, 0.896)	0.760	0.734	0.790	0.766 (0.667, 0.863)	0.659	0.674	0.643
T1_tumor signature	0.859 (0.810, 0.908)	0.819	0.972	0.642	0.818 (0.732, 0.904)	0.716	0.891	0.524
T1_edema signature	0.768 (0.706, 0.829)	0.716	0.927	0.474	0.673 (0.569, 0.777)	0.648	0.957	0.310
T2_tumor signature	0.858 (0.809, 0.907)	0.794	0.927	0.642	0.762 (0.666, 0.858)	0.693	0.849	0.524
T2_edema signature	0.787 (0.727, 0.846)	0.750	0.936	0.537	0.711 (0.613, 0.809)	0.682	0.957	0.381
CE-T1_tumor signature	0.811 (0.752, 0.870)	0.755	0.725	0.789	0.731 (0.628, 0.835)	0.648	0.630	0.667
CE-T1_edema signature	0.760 (0.699, 0.821)	0.770	0.982	0.526	0.734 (0.652, 0.817)	0.659	1.000	0.286
Tumor signature	0.917 (0.877,0.958)	0.878	0.973	0.768	0.872 (0.799, 0.944)	0.750	0.848	0.643
Edema signature	0.808 (0.747, 0.869)	0.775	0.973	0.547	0.704 (0.597, 0.811)	0.659	0.978	0.310
Fusion signature	0.979 (0.959, 0.999)	0.956	0.991	0.916	0.902 (0.841, 0.964)	0.818	0.891	0.738
HMDT	0.985 (0.968, 1)	0.961	0.973	0.947	0.917 (0.861, 0.972)	0.852	0.848	0.857

AUC, area under the curve; CI, confidence interval; ACC, accuracy; SEN, sensitivity; SPE, specificity.