From: Spectral CT-based radiomics signature for distinguishing malignant pulmonary nodules from benign
Model | Cut-off | Training dataset | Testing dataset | ||||||
---|---|---|---|---|---|---|---|---|---|
AUC (95%CI) | SEN | SPE | ACC | AUC (95%CI) | SEN | SPE | ACC | ||
Radiomics model | 0.91 | 0.96 (0.925–0.996) | 0.94 | 0.91 | 0.92 | 0.96 (0.914–0.996) | 0.87 | 0.90 | 0.87 |
Conventional model | 0.60 | 0.88 (0.823–0.941) | 0.86 | 0.81 | 0.84 | 0.86 (0.767–0.948) | 0.82 | 0.70 | 0.76 |
Integrated model | 1.01 | 0.97 (0.940–0.997) | 0.91 | 0.93 | 0.91 | 0.97 (0.928–1.000) | 0.91 | 0.95 | 0.92 |