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. 2021 May;11(5):1946–1957. doi: 10.21037/qims-20-825

Table 4. Univariate and multivariate logistic regression analyses for differentiating malignant breast tumors from benign breast tumors.

Quantitative parameters Univariate analysis Multivariate analysis
OR 95% CI P value OR 95% CI P value
Arterial phase NIC 10.4 4.7, 27.3 <0.001 7.2 1.9, 26.9 0.01
Venous phase NIC 3.4 2.1, 5.7 <0.001 0.3 0.1, 1.3 0.06
Arterial phase λHu (HU/keV) 11.4 5.4, 28.5 <0.001 1.1 0.3, 4.4 0.90
Venous phase λHu (HU/keV) 9.6 5.0, 20.8 <0.001 7.2 1.2, 44.7 0.01
Arterial phase nZeff 3.4 2.1, 5.8 <0.001 4.2 1.4, 4.4 0.07
Venous phase nZeff 2.3 1.6, 3.6 <0.001 1.2 0.3, 4.6 0.80
Arterial phase attenuation (HU) 9.3 4.8, 21.2 <0.001 1.9 0.3, 11.6 0.49
Venous phase attenuation (HU) 9.1 4.9, 19.2 <0.001 4.8 1.1, 21.9 0.09

NIC, normalized iodine concentration; nZeff, normalized effective atomic number; λHu, slope of the spectral Hounsfield unit curve; HU, Hounsfield unit; OR, odds ratio; CI, confidence intervals.