Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds.

ABSTRACT: BACKGROUND:Case-control studies show that mammographic density is a better risk factor when defined at higher than conventional pixel-brightness thresholds. We asked if this applied to interval and/or screen-detected cancers. METHOD:We conducted a nested case-control study within the prospective Melbourne Collaborative Cohort Study including 168 women with interval and 422 with screen-detected breast cancers, and 498 and 1197 matched controls, respectively. We measured absolute and percent mammographic density using the Cumulus software at the conventional threshold (Cumulus) and two increasingly higher thresholds (Altocumulus and Cirrocumulus, respectively). Measures were transformed and adjusted for age and body mass index (BMI). Using conditional logistic regression and adjusting for BM

SUBMITTER: Nguyen TL 

PROVIDER: S-EPMC6293866 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature