Table 4.
Performance of each single sequence in distinguishing HGPs of CRLMs.
| Model | Training cohort | Internal validation cohort | |||||||
|---|---|---|---|---|---|---|---|---|---|
| AUC | ACC | SEN | SPE | AUC | ACC | SEN | SPE | ||
| TLI area | T1WI | 0.707 (0.599–0.816) | 0.803 | 1.000 | 0.400 | 0.619 (0.458–0.780) | 0.710 | 0.905 | 0.300 |
| T2WI | 0.845 (0.769–0.921) | 0.803 | 0.854 | 0.700 | 0.767 (0.592–0.942) | 0.677 | 0.905 | 0.200 | |
| AP | 0.907 (0.832–0.982) | 0.885 | 0.878 | 0.900 | 0.860 (0.721–0.999) | 0.806 | 0.905 | 0.600 | |
| PVP | 0.812 (0.712–0.912) | 0.803 | 0.707 | 1.000 | 0.736 (0.590–0.882) | 0.677 | 0.571 | 0.900 | |
| ADC | 0.754 (0.645–0.863) | 0.721 | 0.659 | 0.850 | 0.733 (0.567–0.900) | 0.710 | 0.667 | 0.800 | |
| Tumor area | T1WI | 0.902 (0.825–0.980) | 0.836 | 0.805 | 0.900 | 0.843 (0.708–0.978) | 0.806 | 0.857 | 0.700 |
| T2WI | 0.762 (0.640–0.884) | 0.754 | 0.780 | 0.700 | 0.657 (0.469–0.845) | 0.677 | 0.714 | 0.600 | |
| AP | 0.840 (0.725–0.954) | 0.852 | 0.902 | 0.750 | 0.679 (0.493–0.864) | 0.677 | 0.667 | 0.700 | |
| PVP | 0.887 (0.798–0.975) | 0.869 | 0.902 | 0.800 | 0.717 (0.533–0.900) | 0.710 | 0.714 | 0.700 | |
| ADC | 0.916 (0.848–0.985) | 0.902 | 1.000 | 0.700 | 0.833 (0.713–0.954) | 0.839 | 1.000 | 0.500 | |