Multiparameter magnetic resonance imaging-based radiomics model for the prediction of rectal cancer metachronous liver metastasis

Table 3 Evaluation of predictive performance of metachronous liver metastasis prediction model based on receiver operating characteristic

Prediction model	Training set				International set
	AUC	95%CI	PPV	NPV	AUC	95%CI	PPV	NPV
RFM	0.919	0.868-0.970	0.94	0.99	0.901	0.850-0.952	0.94	0.99
GLRM	0.765	0.710-0.820	0.75	0.98	0.767	0.712-0.822	0.64	0.94

AUC: Area under the curve; CI: Confidence interval; PPV: Positive predictive value; NPV: Negative predictive value; RFM: Random forest model; GLRM: Generalized linear regression.