title: Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers.
abstract: BACKGROUND
  Screening mammography is the best method to reduce mortality from breast cancer, yet some breast cancers cannot be detected by mammography. Cancers diagnosed after a negative mammogram are known as interval cancers. This study investigated whether mammographic breast density is related to the risk of interval cancer.
  
  
  METHODS
  Subjects were selected from women participating in mammographic screening from 1988 through 1993 in a large health maintenance organization based in Seattle, WA. Women were eligible for the study if they had been diagnosed with a first primary invasive breast cancer within 24 months of a screening mammogram and before a subsequent one. Interval cancer case subjects (n = 149) were women whose breast cancer occurred after a negative or benign mammographic assessment. Screen-detected control subjects (n = 388) were diagnosed after a positive screening mammogram. One radiologist, who was blinded to cancer status, assessed breast density by use of the American College of Radiology Breast Imaging Reporting and Data System.
  
  
  RESULTS
  Mammographic sensitivity (i.e., the ability of mammography to detect a cancer) was 80% among women with predominantly fatty breasts but just 30% in women with extremely dense breasts. The odds ratio (OR) for interval cancer among women with extremely dense breasts was 6.14 (95% confidence interval [CI] = 1.95-19.4), compared with women with extremely fatty breasts, after adjustment for age at index mammogram, menopausal status, use of hormone replacement therapy, and body mass index. When only those interval cancer cases confirmed by retrospective review of index mammograms were considered, the OR increased to 9.47 (95% CI = 2.78-32.3).
  
  
  CONCLUSIONS
  Mammographic breast density appears to be a major risk factor for interval cancer.
authors.affiliation: Center for Health Studies, Group Health Cooperative, Seattle, WA 98101, USA. mandelson.m@ghc.org
authors.forename: M T
authors.initials: MT
authors.lastname: Mandelson
authors.forename: N
authors.initials: N
authors.lastname: Oestreicher
authors.forename: P L
authors.initials: PL
authors.lastname: Porter
authors.forename: D
authors.initials: D
authors.lastname: White
authors.forename: C A
authors.initials: CA
authors.lastname: Finder
authors.forename: S H
authors.initials: SH
authors.lastname: Taplin
authors.forename: E
authors.initials: E
authors.lastname: White
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001940:Breast / Q000473:pathology*; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology / Q000517:prevention & control; D005260:Female; D006279:Health Maintenance Organizations; D006801:Humans; D008327:Mammography; D008403:Mass Screening / Q000379:methods*; D008875:Middle Aged; D016017:Odds Ratio; D011237:Predictive Value of Tests; D012189:Retrospective Studies; D012307:Risk Factors; D013997:Time Factors; D014861:Washington