Association of contralateral breast cancer risk with mammographic density defined at higher-than-conventional intensity thresholds Journal Article


Authors: Watt, G. P.; Knight, J. A.; Nguyen, T. L.; Reiner, A. S.; Malone, K. E.; John, E. M.; Lynch, C. F.; Brooks, J. D.; Woods, M.; Liang, X.; Bernstein, L.; Pike, M. C.; Hopper, J. L.; Bernstein, J. L.
Article Title: Association of contralateral breast cancer risk with mammographic density defined at higher-than-conventional intensity thresholds
Abstract: Mammographic dense area (MDA) is an established predictor of future breast cancer risk. Recent studies have found that risk prediction might be improved by redefining MDA in effect at higher-than-conventional intensity thresholds. We assessed whether such higher-intensity MDA measures gave stronger prediction of subsequent contralateral breast cancer (CBC) risk using the Women's Environment, Cancer, and Radiation Epidemiology (WECARE) Study, a population-based CBC case-control study of ≥1 year survivors of unilateral breast cancer diagnosed between 1990 and 2008. Three measures of MDA for the unaffected contralateral breast were made at the conventional intensity threshold (“Cumulus”) and at two sequentially higher-intensity thresholds (“Altocumulus” and “Cirrocumulus”) using the CUMULUS software and mammograms taken up to 3 years prior to the first breast cancer diagnosis. The measures were fitted separately and together in multivariable-adjusted logistic regression models of CBC (252 CBC cases and 271 unilateral breast cancer controls). The strongest association with CBC was MDA defined using the highest intensity threshold, Cirrocumulus (odds ratio per adjusted SD [OPERA] 1.40, 95% CI 1.13-1.73); and the weakest association was MDA defined at the conventional threshold, Cumulus (1.32, 95% CI 1.05-1.66). In a model fitting the three measures together, the association of CBC with Cirrocumulus was unchanged (1.40, 95% CI 0.97-2.05), and the lower brightness measures did not contribute to the CBC model fit. These results suggest that MDA defined at a high-intensity threshold is a better predictor of CBC risk and has the potential to improve CBC risk stratification beyond conventional MDA measures. © 2022 UICC.
Keywords: adult; controlled study; major clinical study; case control study; case-control studies; cancer risk; cancer diagnosis; disease association; breast cancer; image analysis; risk factors; diagnostic imaging; breast neoplasms; risk factor; cancer survivor; population research; breast tumor; risk stratification; high risk population; cancer survivors; digital mammography; breast density; mammographic density; humans; human; female; article; unilateral breast neoplasms
Journal Title: International Journal of Cancer
Volume: 151
Issue: 8
ISSN: 0020-7136
Publisher: John Wiley & Sons  
Date Published: 2022-10-15
Start Page: 1304
End Page: 1309
Language: English
DOI: 10.1002/ijc.34001
PUBMED: 35315524
PROVIDER: scopus
PMCID: PMC9420749
DOI/URL:
Notes: Article -- Export Date: 3 October 2022 -- Source: Scopus
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MSK Authors
  1. Anne S Reiner
    248 Reiner
  2. Malcolm Pike
    190 Pike
  3. Jonine L Bernstein
    142 Bernstein
  4. Xiaolin Liang
    62 Liang
  5. Meghan   Woods
    30 Woods
  6. Gordon Patrick Watt
    16 Watt