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Table 3 Cutoff value prediction ability of the 2D, 3D, and 2D + 3D joint radiomics models

From: Prediction of BRCA gene mutation status in epithelial ovarian cancer by radiomics models based on 2D and 3D CT images

  AUC Accuracy Sensitivity Specificity Positive value Negative value Cut-off
2D Training set 0.81 (0.71–0.91) 0.75 (0.63–0.84) 0.68 0.83 0.86 0.65 − 0.43
2D validation set 0.78 (0.61–0.96) 0.73 (0.54–0.87) 0.61 0.91 0.91 0.61  
3D training set 0.80 (0.70–0.90) 0.75 (0.63–0.84) 0.71 0.81 0.84 0.65 − 0.61
3D validation set 0.75 (0.55–0.92) 0.74 (0.55–0.88) 0.84 0.58 0.76 0.70  
2D + 3D Training set 0.91 (0.84–0.97) 0.86 (0.77–0.93) 0.95 0.74 0.84 0.92 0.14
2D + 3D validation set 0.82 (0.67–0.98) 0.73 (0.54–0.87) 0.611 0.91 0.91 0.61