title: Impact of mammography screening interval on breast cancer diagnosis by menopausal status and BMI.
abstract: BACKGROUND
  Controversy remains regarding the frequency of screening mammography. Women with different risks for developing breast cancer because of body mass index (BMI) may benefit from tailored recommendations.
  
  
  OBJECTIVE
  To determine the impact of mammography screening interval for women who are normal weight (BMI < 25), overweight (BMI 25-29.9), or obese (BMI ≥ 30), stratified by menopausal status.
  
  
  METHODS
  Two cohorts selected from the Breast Cancer Surveillance Consortium. Patient and mammography data were linked to pathology databases and tumor registries.
  
  
  METHODS
  The cohort included 4,432 women aged 40-74 with breast cancer; the false-positive analysis included a cohort of 553,343 women aged 40-74 without breast cancer.
  
  
  METHODS
  Stage, tumor size and lymph node status by BMI and screening interval (biennial vs. annual). Cumulative probability of false-positive recall or biopsy by BMI and screening interval. Analyses were stratified by menopausal status.
  
  
  RESULTS
  Premenopausal obese women undergoing biennial screening had a non-significantly increased odds of a tumor size > 20 mm relative to annual screeners (odds ratio [OR] = 2.07; 95 % confidence interval [CI] 0.997 to 4.30). Across all BMI categories from normal to obese, postmenopausal women with breast cancer did not present with higher stage, larger tumor size or node positive tumors if they received biennial rather than annual screening. False-positive recall and biopsy recommendations were more common among annually screened women.
  
  
  CONCLUSIONS
  The only negative outcome identified for biennial vs. annual screening was a larger tumor size (> 20 mm) among obese premenopausal women. Since annual mammography does not improve stage at diagnosis compared to biennial screening and false-positive recall/biopsy rates are higher with annual screening, women and their primary care providers should weigh the harms and benefits when deciding on annual versus biennial screening.
authors.affiliation: Departments of Hematology/Oncology, University of Vermont, College of Medicine, Given E-214 89, Beaumont Ave, Burlington, VT, 05405, USA, Kim.Dittus@vtmednet.org.
authors.forename: Kim
authors.initials: K
authors.lastname: Dittus
authors.forename: Berta
authors.initials: B
authors.lastname: Geller
authors.forename: Donald L
authors.initials: DL
authors.lastname: Weaver
authors.forename: Karla
authors.initials: K
authors.lastname: Kerlikowske
authors.forename: Weiwei
authors.initials: W
authors.lastname: Zhu
authors.forename: Rebecca
authors.initials: R
authors.lastname: Hubbard
authors.forename: Dejana
authors.initials: D
authors.lastname: Braithwaite
authors.forename: Ellen S
authors.initials: ES
authors.lastname: O'Meara
authors.forename: Diana L
authors.initials: DL
authors.lastname: Miglioretti
mesh_terms: D000328:Adult; D000368:Aged; D015992:Body Mass Index; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000453:epidemiology; D015331:Cohort Studies; D055088:Early Detection of Cancer / Q000592:standards / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008327:Mammography / Q000592:standards / Q000706:statistics & numerical data*; D008875:Middle Aged; D009765:Obesity / Q000175:diagnosis / Q000453:epidemiology; D017698:Postmenopause; D017697:Premenopause; D012042:Registries; D013997:Time Factors