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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