Table 3 Breast cancer odd ratios for BPE quantified separately from three SUBs for 51 women with a cancer diagnosis and 51 controls with a biopsy-proven benign finding.

From: DCE-MRI Background Parenchymal Enhancement Quantified from an Early versus Delayed Post-contrast Sequence: Association with Breast Cancer Presence

 

SUB1

SUB2

SUB3

Comparison A: Contralateral breasts of both cancer cases and controls

|BPE|

Univariate

1.5 (1.1, 2.2); p = 0.026

1.4 (1.0, 1.8); p = 0.025

1.3 (1.0, 1.7); p = 0.031

Multivariable

2.0 (1.1, 3.7); p = 0.021

1.9 (1.1, 3.0); p = 0.014

1.8 (1.1, 2.8); p = 0.017

BPE%

Univariate

3.1 (1.2, 7.9); p = 0.018

2.5 (1.2, 5.3); p = 0.012

2.3 (1.1, 4.5); p = 0.021

Multivariable

3.5 (1.3, 9.8); p = 0.015

2.9 (1.3, 6.6); p = 0.010

2.5 (1.2, 5.1); p = 0.015

Comparison B: Benign breast of controls vs contralateral breasts of cancer cases

|BPE|

Univariate

1.5 (1.0, 2.1); p = 0.037

1.4 (1.0, 1.8); p = 0.031

1.3 (1.0, 1.7); p = 0.038

Multivariable

2.3 (1.1, 4.8); p = 0.032

1.9 (1.1, 3.4); p = 0.020

1.8 (1.1, 3.1); p = 0.028

BPE%

Univariate

7.0 (1.6, 30.5); p = 0.010

4.7 (1.6, 13.7); p = 0.005

3.3 (1.2, 9.1); p = 0.023

Multivariable

7.4 (1.6, 35.6); p = 0.012

5.5 (1.7, 18.4); p = 0.005

3.5 (1.2, 10.0); p = 0.020

  1. |BPE| = Volume of background parenchymal enhancement, with odds ratio for 200 cm3 difference.
  2. BPE% = Percentage of background parenchymal enhancement volume (|BPE|) relative to breast volume, with odds ratio for 20 percentage point difference.
  3. SUB1, SUB2, SUB3 = Subtraction sequence (i.e., post-contrast – pre-contrast) for each of first, second, and third post-contrast sequences, respectively.
  4. Odds ratios, 95% confidence intervals, and p-values are shown for univariate conditional logistic regression, and for multivariable models controlling for menopausal status, family history of breast cancer, BI-RADS-based mammographic density, |FGT|, and FGT%. The p-values indicate statistical significance of the tested BPE measure (i.e., |BPE| or BPE%) in the logistic regression modeling. The p-values shown in the table were prior to the multiple test adjustment by FDR. After applying the adjustment for 6 comparisons at the 0.05 overall FDR, the 6 adjusted p-values remained statistically significant (all p < 0.031 for the 6 univariate analyses in Comparison A; all p < 0.021 for the 6 multivariable analyses in Comparison A; all p < 0.038 for the 6 univariate analyses in Comparison B; all p < 0.032 for the 6 multivariable analyses in Comparison B).
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