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. 2020 May 29;10:592. doi: 10.3389/fonc.2020.00592

Table 3.

Predictive performance of the image features model, the radiomics signature, and the radiomics nomogram.

Model Training cohort (n = 132) Validation cohort (n = 123)
AUC (95% CI) Sensitivity Specificity Precision AUC (95% CI) Sensitivity Specificity Precision
Image features model 0.82 (0.75–0.89) 86.42% 84.31% 85.61% 0.72 (0.62–0.82) 59.30% 78.38% 65.04%
Radiomics Signature 0.91 (0.87–0.96) 75.31% 82.35% 78.03% 0.86 (0.79–0.93) 82.56% 70.27% 78.86%
radiomics nomogram 0.93 (0.89–0.97) 76.54% 96.08% 84.09% 0.87 (0.81–0.94) 72.26% 83.78% 76.42%