Table 6.
Predictive performances of the models predicting the Ki-67 status in patients with BC.
| Model | Set | AUC | SEN (%) | SPE (%) | ACC (%) | PPV (%) | NPV (%) | TP | FP | FN | TN |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Clinical | Training | 0.578 | 73.1% | 45.3% | 64.1% | 73.7% | 44.6% | 98 | 35 | 36 | 29 |
| Test | 0.665 | 85.5% | 54.2% | 76.7% | 82.8% | 59.1% | 53 | 11 | 9 | 13 | |
| Rad-Score | Training | 0.793 | 74.6% | 76.6% | 75.3% | 87.0% | 59.0% | 100 | 15 | 34 | 49 |
| Test | 0.798 | 88.7% | 70.8% | 83.7% | 88.7% | 70.8% | 55 | 7 | 7 | 17 | |
| Nomogram | Training | 0.790 | 77.6% | 73.4% | 76.3% | 86.0% | 61.0% | 104 | 17 | 30 | 47 |
| Test | 0.808 | 90.3% | 70.8% | 84.9% | 88.9% | 73.9% | 56 | 7 | 6 | 17 |
AUC, area under the curve; SEN, sensitivity; SPE, specificity; ACC, accuracy; PPV, positive predictive value; NPV, negative predictive value; Rad-Score, radiomics score; TP, true positive; FP, false positive; FN, false negative; TN, true negative.