Radiomics model building from multiparametric MRI to predict Ki-67 expression in patients with primary central nervous system lymphomas: a multicenter study

Table 3 AUC, Accuracy, specificity, and sensitivity on training and testing sets of different models

	Metrics	ADC + DWI + T1-CE	ADC + DWI	DWI + T1-CE	ADC + T1-CE	ADC	T1-CE	DWI
Training set	AUC	0.878	0.854	0.829	0.740	0.733	0.773	0.783
	Accuracy	0.803	0.782	0.732	0.739	0.718	0.725	0.725
	Sensitivity	0.686	0.586	0.676	0.643	0.614	0.789	0.676
	Specificity	0.917	0.972	0.789	0.833	0.819	0.662	0.775
Testing set	AUC	0.869	0.828	0.795	0.733	0.723	0.679	0.774
	Accuracy	0.742	0.710	0.758	0.742	0.710	0.613	0.726
	Sensitivity	0.645	0.516	0.645	0.677	0.613	0.677	0.613
	Specificity	0.839	0.903	0.871	0.807	0.807	0.548	0.839

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