TABLE 3.

Model performance analysis of the models using ROC metrics

		AUC (95%CI)	Accuracy	Sensitivity	Specificity	HL test
Radiomics	Training	0.894 (0.837–0.951)	0.811 (0.645–0.875)	0.692 (0.587–0.840)	0.926 (0.821–0.979)	0.415
	Test	0.886 (0.784–0.989)	0.841 (0.585–0.941)	0.818 (0.640–0.964)	0.864 (0.542–0.913)
Combined	Training	0.932 (0.889–0.976)	0.859 (0.698–0.922)	0.750 (0.649–0.884)	0.963 (0.873–0.995)	0.931
	Test	0.899 (0.805–0.992)	0.863 (0.615–0.952)	0.818 (0.640–0.964)	0.909 (0.589–0.940)

Notes: The best operating point of the ROC was chosen at the point, whose Youden index is maximal. (Youden index = Sensitivity+Specificity−1). Delong test between two models: p = 0.650.

Abbreviations: AUC, area under curve; HL, Hosmer–Lemeshow test.