Abstract 2595: Texture variation on a mammogram and risk of breast cancer

Abstract

Abstract Mammographic density is one of the strongest risk factors for breast cancer. The most widely used measure of mammographic density is based on the percentage of dense tissue on a mammogram (percent mammographic density). However, there is additional information in mammographic images not captured by current mammographic density measurements including heterogeneity in patterns of breast density, often referred to as ‘texture’. More recent research suggests that textural features on a mammogram are associated with breast cancer risk independent of percent mammographic density. Therefore, we evaluated an automated measure called V, which measures the grayscale variation within a mammogram, in relation to subsequent breast cancer risk in 834 breast cancer cases (426 premenopausal and 408 postmenopausal) and 1805 controls (978 premenopausal and 827 postmenopausal) from a nested case-control study of breast cancer in the Nurses’ Health Studies (NHS). Among all women, V was modestly correlated with percent mammographic density (r = 0.48, p<0.01); this correlation did not vary substantially by menopausal status. Among premenopausal women, those in the highest quartile of V had a significantly higher risk of breast cancer (OR = 1.84, 95%CI: 1.30-2.61) compared to those in the lowest quartile. This association was similar, though more modest, among postmenopausal women (OR = 1.54, 95%CI: 1.08-2.19). These associations somewhat attenuated after adjustment for percent mammographic density in both premenopausal women (OR comparing extreme quartiles = 1.41, 95%CI: 0.97-2.03) and in postmenopausal women (OR comparing extreme quartiles = 1.21, 95%CI: 0.81-1.81). Future work will examine the associations between V and risk of breast cancer subtypes (e.g., by ER/PR tumor expression) as well as examine the associations between other measures of texture including markovian, run-length, laws, wavelet, fourier, and power features with breast cancer risk. Citation Format: Megan Rice, Kimberly Bertrand, John Heine, Bernard Rosner, Rulla Tamimi. Texture variation on a mammogram and risk of breast cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2595.