Table 3.
Performance measurements generated by clinical model, DL models and radiomics models trained on different sequences in the internal test dataset.
Models | AUC (95% CI) | P-value | Accuracy | Specificity | Sensitivity |
---|---|---|---|---|---|
Clinical Variables | 0.840 (0.774-0.973) | 0.047* | 0.905 | 0.914 | 0.857 |
Radiomics_T1WI | 0.773 (0.686-0.930) | 0.036* | 0.833 | 0.882 | 0.625 |
Radiomics_T2WI | 0.786 (0.686-0.930) | 0.038* | 0.833 | 0.906 | 0.600 |
Radiomics_FLAIR | 0.823 (0.632-0.897) | 0.004* | 0.786 | 0.929 | 0.500 |
Radiomics_DWI | 0.803 (0.686-0.930) | 0.014* | 0.833 | 0.906 | 0.600 |
Radiomics_Combined | 0.889 (0.715-0.946) | 0.029* | 0.857 | 0.936 | 0.636 |
DL_T1WI | 0.721 (0.659-0.914) | 0.035* | 0.810 | 0.838 | 0.600 |
DL_T2WI | 0.747 (0.560-0.861) | 0.032* | 0.738 | 0.806 | 0.333 |
DL_FLAIR | 0.771 (0.659-0.914) | 0.014* | 0.810 | 0.903 | 0.546 |
DL_DWI | 0.805 (0.686-0.930) | 0.011* | 0.833 | 0.861 | 0.667 |
DL_Combined | 0.845 (0.715-0.946) | 0.019* | 0.857 | 0.886 | 0.714 |
Fusion | 0.963 (0.874-0.999) | Na | 0.976 | 1.000 | 0.900 |
*P < 0.05. The paired Student t-test was used to compare the prediction performance of the prognosis in patients with anti-NMDAR encephalitis between the fusion model and all the other models (The fusion model is the reference).
AUC, area under the receiver operating characteristic curve; CI, confidence interval; DL, deep learning; anti-NMDAR, anti-N-methyl-D-aspartate receptor; Na, Not available.