Longitudinal measurement of clinical mammographic breast density to improve estimation of breast cancer risk

Karla Kerlikowske, Laura Ichikawa, Diana L. Miglioretti, Diana S M Buist, Pamela M. Vacek, Rebecca Smith-Bindman, Bonnie Yankaskas, Patricia (Patty) Carney, Rachel Ballard-Barbash

Research output: Contribution to journalArticle

157 Citations (Scopus)

Abstract

Background: Whether a change over time in clinically measured mammographic breast density influences breast cancer risk is unknown. Methods: From January 1993 to December 2003, data that included American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) breast density categories (1-4 in order of increasing density) were collected prospectively on 301 955 women aged 30 and older who were not using postmenopausal hormone replacement therapy and underwent at least two screening mammography examinations; 2639 of the women were diagnosed with breast cancer within 1 year of the last examination. Women's first and last BI-RADS breast density (average 3.2 years apart) and logistic regression were used to model the odds of having invasive breast cancer or ductal carcinoma in situ diagnosed within 12 months of the last examination by change in BI-RADS category. Rates of breast cancer adjusted for age, mammography registry, and time between screening examinations were estimated from this model. All statistical tests were two-sided. Results: The rate (breast cancers per 1000 women) of breast cancer was higher if BI-RADS breast density category increased from 1 to 2 (5.6, 95% confidence interval [CI] = 4.7 to 6.9) or 1 to 3 (9.9, 95% CI = 6.4 to 15.5) compared to when it remained at BI-RADS density of 1 (3.0, 95% CI = 2.3 to 3.9; P

Original languageEnglish (US)
Pages (from-to)386-395
Number of pages10
JournalJournal of the National Cancer Institute
Volume99
Issue number5
DOIs
StatePublished - Mar 7 2007

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Information Systems
Breast Neoplasms
Breast
Confidence Intervals
Mammography
Estrogen Replacement Therapy
Carcinoma, Intraductal, Noninfiltrating
Radiology
Registries
Breast Density
Logistic Models

ASJC Scopus subject areas

  • Cancer Research
  • Oncology

Cite this

Kerlikowske, K., Ichikawa, L., Miglioretti, D. L., Buist, D. S. M., Vacek, P. M., Smith-Bindman, R., ... Ballard-Barbash, R. (2007). Longitudinal measurement of clinical mammographic breast density to improve estimation of breast cancer risk. Journal of the National Cancer Institute, 99(5), 386-395. https://doi.org/10.1093/jnci/djk066

Longitudinal measurement of clinical mammographic breast density to improve estimation of breast cancer risk. / Kerlikowske, Karla; Ichikawa, Laura; Miglioretti, Diana L.; Buist, Diana S M; Vacek, Pamela M.; Smith-Bindman, Rebecca; Yankaskas, Bonnie; Carney, Patricia (Patty); Ballard-Barbash, Rachel.

In: Journal of the National Cancer Institute, Vol. 99, No. 5, 07.03.2007, p. 386-395.

Research output: Contribution to journalArticle

Kerlikowske, K, Ichikawa, L, Miglioretti, DL, Buist, DSM, Vacek, PM, Smith-Bindman, R, Yankaskas, B, Carney, PP & Ballard-Barbash, R 2007, 'Longitudinal measurement of clinical mammographic breast density to improve estimation of breast cancer risk', Journal of the National Cancer Institute, vol. 99, no. 5, pp. 386-395. https://doi.org/10.1093/jnci/djk066
Kerlikowske, Karla ; Ichikawa, Laura ; Miglioretti, Diana L. ; Buist, Diana S M ; Vacek, Pamela M. ; Smith-Bindman, Rebecca ; Yankaskas, Bonnie ; Carney, Patricia (Patty) ; Ballard-Barbash, Rachel. / Longitudinal measurement of clinical mammographic breast density to improve estimation of breast cancer risk. In: Journal of the National Cancer Institute. 2007 ; Vol. 99, No. 5. pp. 386-395.
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