Table 3 Multinomial logistic regression analysis of various radiologic factors
Factors | Multinomial regression | Cutoff | AUC (95%CI) | Accuracy | Sensitivity | Specificity | PPV | NPV | ||
|---|---|---|---|---|---|---|---|---|---|---|
Category | p | OR (95%CI) | ||||||||
Location | 0.661(0.548–0.761) | 0.651 | 0.639 | 0.682 | 0.848 | 0.405 | ||||
Trigone | 0.157 | |||||||||
Shape | 0.726(0.617–0.818) | 0.795 | 0.869 | 0.591 | 0.855 | 0.619 | ||||
Endophytic | 0.487 | |||||||||
Exophytic | 0.614 | |||||||||
Mixed | 0.029 | |||||||||
LAD | 0.763 | 3.25 | 0.788(0.684–0.870) | 0.675 | 0.590 | 0.909 | 0.947 | 0.444 | ||
SAD | 0.014 | 1.053(1.011,1.098) | 2.39 | 0.797(0.694–0.877) | 0.699 | 0.639 | 0.864 | 0.929 | 0.463 | |
EVE | 0.702(0.591–0.797) | 0.711 | 0.721 | 0.682 | 0.863 | 0.469 | ||||
Yes | 0.196 | |||||||||
PPS | 0.610(0.497–0.715) | 0.747 | 0.902 | 0.318 | 0.786 | 0.539 | ||||
Yes | 0.204 | |||||||||
Necrosis | 0.732(0.623–0.823) | 0.819 | 0.918 | 0.546 | 0.849 | 0.706 | ||||
Yes | 0.003 | 7.488(2.001,28.021) | ||||||||
Hydronephrosis/Ureteral effusion | 0.367 | 0.637(0.524–0.740) | 0.723 | 0.820 | 0.455 | 0.807 | 0.476 | |||
Combined model of SAD and Necrosis | 0.849(0.754–0.919) | 0.735 | 0.672 | 0.909 | 0.954 | 0.500 | ||||