Table 3.
Parameters associated with breast cancer diagnosis in multivariable logistic regression analysis.
| Variables | Multivariable logistic regression analysis | Variables | Multivariable logistic regression analysis | ||
|---|---|---|---|---|---|
| OR (95% CI) | p-value | OR (95% CI) | p-value | ||
| T1 | 0.0006 (0.0000, inf.) | 0.5819 | Margin | ||
| ΔT1% | 1.9469 (1.2334,3.0732) | 0.0042* | Circumscribed | 0.2167 (0.0593,0.7927) | 0.0208* |
| T2 | 0.7766 (0.6597,0.9142) | 0.0024* | Irregular | Ref. | 1.0 |
| T2+ | NA | NA | Spiculated | – | – |
| ΔT2% | 1.8690 (0.9008,3.8777) | 0.0930 | Internal Enhancement Pattern | ||
| ADC | 0.0001 (0.0001,0.0009) | 0.0012* | Homogeneous | 0.1613 (0.0262,0.9915) | 0.0489* |
| Age | 1.0618 (1.0072,1.1193) | 0.0257* | Heterogeneous | Ref. | 1.0 |
| BMI | 1.2956 (1.0471,1.6030) | 0.0171* | Rim enhancement | 1.1719 (0.2643,5.1959) | 0.88346 |
| Menopausal State | Dark Internal Septations | 0.0000 (0.0000, inf.) | 0.9945 | ||
| Pre | 0.2529 (0.0721,0.8868) | 0.0317* | FGT | ||
| Post | Ref. | 1.0 | Fat | 3.8683 (0.2505,59.7455) | 0.3327 |
| CA153 | Scattered Fibroglandular Tissue | Ref. | 1.0 | ||
| Negative | Ref. | 1.0 | Heterogeneous Fibroglandular Tissue | 0.4836 (0.0878,2.6630) | 0.4039 |
| Positive | Inf. (0.0000,inf.) | 0.9925 | Extreme Fibroglandular Tissue | 0.7191 (0.1308,3.9545) | 0.7045 |
OR, odds ratio; CI, confidence interval; NA, not available. These variables were eliminated in the multivariable logistic regression model, so the OR and p-values were not available. *p < 0.05.
BMI, body mass index; TIC, time–signal intensity curve; CEA, Carcinoembryonic antigen; ADC, apparent diffusion coefficient; Ref, reference; Inf, infinite.