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. 2023 May 17;96(1148):20230019. doi: 10.1259/bjr.20230019

Table 3.

Comparison of predictive performance of the radiomics model, clinical model, and combined model in the three cohorts (training cohort, internal validation cohort, and external validation cohort)

Model Cut-off Cohort AUC (95% CI) Accuracy Sensitivity Specificity PPV NPV
Radiomics model −0.50 Training cohort 0.81 (0.74–0.87) 0.75 0.85 0.70 0.63 0.88
Internal validation cohort 0.79 (0.71–0.88) 0.74 0.83 0.68 0.61 0.87
External validation cohort 0.79 (0.70–0.88) 0.80 0.60 0.91 0.78 0.81
Clinical model −0.44 Training cohort 0.68 (0.60–0.76) 0.67 0.62 0.70 0.55 0.75
Internal validation cohort 0.66 (0.56–0.75) 0.61 0.51 0.67 0.48 0.69
External validation cohort 0.65 (0.55–0.75) 0.65 0.56 0.69 0.50 0.74
Combined model −0.42 Training cohort 0.86 (0.80–0.91) 0.82 0.83 0.81 0.72 0.89
Internal validation cohort 0.82 (0.74–0.90) 0.76 0.65 0.84 0.77 0.76
External validation cohort 0.82 (0.75–0.90) 0.79 0.90 0.60 0.81 0.76

Note. AUC, area under the receiver operating characteristic curve; CI, confidence interval; NPV, negative-predictive value; PPV, positive-predictive value.