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. 2023 Feb 21;13:1081134. doi: 10.3389/fonc.2023.1081134

Table 3.

Predictive performance of the clinical model, radiomics score, and radiomics nomogram for high-grade endometrial cancer.

Cohort Models AUC (95%CI) ACC SEN SPE NPV PPV
Training set Clinical model 0.837 (0.754, 0.920) 0.801 0.714 0.846 0.846 0.714
Radiomics score 0.875 (0.797, 0.952) 0.830 0.889 0.808 0.952 0.632
Radiomics nomogram 0.923 (0.869, 0.977) 0.877 0.741 0.918 0.905 0.769
Validation set Clinical model 0.857 (0.741, 0.973) 0.721 1.000 0.657 1.000 0.400
Radiomics score 0.786 (0.592, 0.979) 0.837 0.625 0.886 0.912 0.556
Radiomics nomogram 0.914 (0.827, 0.998) 0.839 1.000 0.771 1.000 0.500

AUC, area under curve; ACC, accuracy; SEN, sensitivity; SPE, specificity; PPV, positive predictive value, NPV, negative predictive value.