Preoperative prediction of macrotrabecular-massive hepatocellular carcinoma through dynamic contrast-enhanced magnetic resonance imaging-based radiomics

Table 4 Predictive performance of different models in training and test sets

Models	Training set				Test set
	AUC (95%CI)	Accuracy	Sensitivity	Specificity	AUC (95%CI)	Accuracy	Sensitivity	Specificity
Clinical	0.836 (0.773-0.888)	0.802	0.750	0.822	0.701 (0.575-0.814)	0.671	0.579	0.706
Radiological	0.688 (0.604-0.769)	0.685	0.636	0.703	0.723 (0.610-0.829)	0.700	0.632	0.725
Radiomics	0.766 (0.692-0.836)	0.772	0.568	0.847	0.739 (0.634-0.837)	0.743	0.579	0.804
Clinical-radiomics	0.888 (0.835-0.934)	0.802	0.909	0.763	0.793 (0.682-0.893)	0.686	0.737	0.667
Radiological-radiomics	0.796 (0.725-0.858)	0.772	0.636	0.822	0.764 (0.661-0.859)	0.729	0.632	0.765
Combined	0.896 (0.847-0.939)	0.796	0.932	0.746	0.805 (0.704, 0.895)	0.700	0.895	0.628

AUC: Area under the receiver operating characteristic curve; CI: Confidence interval.