Table 3.
Area under the receiver operating characteristic curve (AUC) for differentiation between patients with cancer and controls, analyzed by unconditional logistic regression models
| Model (M) | Variables in unconditional logistic regression models | Unadjusted AUC (95 % CI) | Leave-one-out cross-validated AUC (95 % CI) | P value (likelihood ratio test) |
|---|---|---|---|---|
| M1 | Wash-in slope variance (WISV) univariate | 0.65 (0.54, 0.76) | 0.61 (0.49, 0.72) | - |
| M2 | Signal enhancement ratio volume (SERV) univariate | 0.63 (0.52, 0.74) | 0.59 (0.48, 0.70) | - |
| M3 | WISV + SERV | 0.71 (0.61, 0.81) | 0.68 (0.58, 0.79) | M3 vs M1: 0.005 |
| M3 vs M2: 0.005 | ||||
| M4 | BPE% univariate | 0.64 (0.53, 0.75) | 0.60 (0.49, 0.72) | - |
| M5 | WISV + SERV + BPE% | 0.72 (0.62, 0.82) | 0.66 (0.56, 0.77) | M5 vs M3: 0.775 |
| M5 vs M4: 0.004 |
BPE% percentage of background parenchymal enhancement volume relative to breast volume