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Table 3 Area under the receiver operating characteristic curve (AUC) for differentiation between patients with cancer and controls, analyzed by unconditional logistic regression models

From: Breast MRI contrast enhancement kinetics of normal parenchyma correlate with presence of breast cancer

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
  1. BPE% percentage of background parenchymal enhancement volume relative to breast volume
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Breast Cancer Research

ISSN: 1465-542X

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