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Table 3 Evaluating the performance of the prediction models

From: CT-based peritumoral radiomics signatures to predict early recurrence in hepatocellular carcinoma after curative tumor resection or ablation

Models AUC cfNRI IDI PPV NPV
AUC [95%CI] P cfNRI+ cfNRI- P IDI P PPV P NPV P
PT-RO 0.79 [0.66, 0.92] 0.93 0.64
T-RO 0.62 [0.46, 0.79] < 0.01 −0.47 −0.32 < 0.01 0.22 < 0.01 0.63 < 0.01 0.65 0.92
PT-E 0.61 [0.47, 0.74] < 0.01 −0.24 − 0.41 0.02 0.20 0.01 0.69 < 0.01 0.55 0.38
  1. AUC area under the curve, CI Confidence Interval, cfNRI+: movement in predicted risks introduced by changes of models in ER cases. cfNRI-: movement in predicted risks introduced by changes of models in non-ER cases. IDI Integrated Discrimination Improvement, PPV positive predictive value, NPV negative predictive value; P values of less than 0.05 (two-sided) were considered statistically significant; PT-RO peritumoral radiomics, T-RO tumoral radiomics, PT-E peritumoral enhancement