4.5 Article

Mammographic Variation Measures, Breast Density, and Breast Cancer Risk

Journal

AMERICAN JOURNAL OF ROENTGENOLOGY
Volume 217, Issue 2, Pages 326-334

Publisher

AMER ROENTGEN RAY SOC
DOI: 10.2214/AJR.20.22794

Keywords

breast cancer; risk prediction; variation measures; volumetric breast density

Funding

  1. National Institutes of Health [R01CA177150, R01CA166269, U01CA200464]

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The study found that variation measures derived from mammograms were significantly associated with breast cancer risk, showing similar associations in an independent population. These measures were strongly correlated with volumetric density measures but not with dense volume measures.
OBJECTIVE. Our previous work showed that variation measures, which represent breast architecture derived from mammograms, were significantly associated with breast cancer. For replication purposes, we examined the association of three variation measures (variation [V], which is measured in the image domain, and P-1 and p(1) [a normalized version of P-1], which are derived from restricted regions in the Fourier domain) with breast cancer risk in an independent population. We also compared these measures to volumetric density measures (volumetric percent density [VPD] and dense volume [DV]) from a commercial product. MATERIALS AND METHODS. We examined 514 patients with breast cancer and 1377 control patients from a screening practice who were matched for age, date of examination, mammography unit, facility, and state of residence. Spearman rank-order correlation was used to evaluate the monotonic association between measures. Breast cancer associations were estimated using conditional logistic regression, after adjustment for age and body mass index. Odds ratios were calculated per SD increment in mammographic measure. RESULTS. These variation measures were strongly correlated with VPD (correlation, 0.68-0.80) but not with DV (correlation, 0.31-0.48). Similar to previous findings, all variation measures were significantly associated with breast cancer (odds ratio per SD: 1.30 [95% CI, 1.16-1.46] for V, 1.55 [95% CI, 1.35-1.77] for P-1, and 1.51 [95% CI, 1.33-1.72] for p(1)). Associations of volumetric density measures with breast cancer were similar (odds ratio per SD: 1.54 [95% CI, 1.33-1.78] for VPD and 1.34 [95% CI, 1.20-1.50] for DV). When DV was included with each variation measure in the same model, all measures retained significance. CONCLUSION. Variation measures were significantly associated with breast cancer risk (comparable to the volumetric density measures) but were independent of the DV.

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