Methods for assessing and representing mammographic density: an analysis of 4 case-control studies.

ABSTRACT: To maximize statistical power in studies of mammographic density and breast cancer, it is advantageous to combine data from several studies, but standardization of the density assessment is desirable. Using data from 4 case-control studies, we describe the process of reassessment and the resulting correlation between values, identify predictors of differences in density readings, and evaluate the strength of the association between mammographic density and breast cancer risk using different representations of density values. The pooled analysis included 1,699 cases and 2,422 controls from California (1990-1998), Hawaii (1996-2003), Minnesota (1992-2001), and Japan (1999-2003). In 2010, a single reader reassessed all images for mammographic density using Cumulus software (Sunnybrook Health

SUBMITTER: Woolcott CG 

PROVIDER: S-EPMC3873107 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature