Table 5.

Comparing ROC curves of optimal radiomics model, clinical model and radiomics-clinical nomogram

Predictive models	Training group (n = 118)			Validation group (n = 53)			Testing group (n = 185)
	AUC (95% CI)		P value	AUC (95% CI)		P value	AUC (95% CI)		P value
1-Years bRFS
Nomogram vs. Radiomics model	0.944 (0.912–0.990)	0.921 (0.857–0.981)	0.329	0.875 (0.750–0.998)	0.876 (0.744–0.978)	0.915	0.815 (0.664–0.921)	0.807 (0.623–0.911)	0.201
Nomogram vs. Clinical model	0.944 (0.912–0.990)	0.839 (0.661–0.928)	0.009	0.875 (0.750–0.998)	0.838 (0.685–0.980)	0.402	0.815 (0.664–0.921)	0.779 (0.615–0.893)	0.553
Radiomics model vs. Clinical model	0.921(0.857–0.981)	0.839 (0.661–0.928)	0.123	0.876 (0.744–0.978)	0.838 (0.685–0.980)	0.616	0.807 (0.623–0.911)	0.779 (0.615–0.893)	0.679
3-Years bRFS
Nomogram vs. Radiomics model	0.864 (0.772–0.969)	0.875 (0.762–0.949)	0.705	0.814 (0.676–0.953)	0.819 (0.696–0.945)	0.897	0.729 (0.641–0.883)	0.714 (0.626–0.842)	0.424
Nomogram vs. Clinical model	0.864 (0.772–0.969)	0.776 (0.602–0.872)	0.008	0.814 (0.676–0.953)	0.761 (0.616–0.914)	0.241	0.729 (0.641–0.883)	0.703 (0.605–0.847)	0.386
Radiomics model vs. Clinical model	0.875 (0.762–0.949)	0.776 (0.602–0.872)	0.115	0.819 (0.696–0.945)	0.761 (0.616–0.914)	0.477	0.714 (0.626–0.842)	0.703 (0.605–0.847)	0.553
5-Years bRFS
Nomogram vs. Radiomics model	0.907 (0.836–0.982)	0.854 (0.706–0.923)	0.050	0.869 (0.712–0.997)	0.826 (0.630–0.997)	0.142	0.854 (0.702–0.913)	0.817 (0.712–0.955)	0.658
Nomogram vs. Clinical model	0.907 (0.836–0.982)	0.819 (0.687–0.915)	0.027	0.869 (0.712–0.997)	0.810 (0.689–0.998)	0.721	0.854 (0.702–0.913)	0.805 (0.704–0.942)	0.349
Radiomics model vs. Clinical model	0.854 (0.706–0.923)	0.819 (0.687–0.915)	0.876	0.826 (0.630–0.997)	0.810 (0.689–0.998)	0.448	0.817 (0.712–0.955)	0.805 (0.704–0.942)	0.695

ROC Receiver operating characteristic, bRFS biochemical recurrence-free survival, AUC Area Under Curve, CI Confidence interval