Back to Search Start Over

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

Authors :
Gordon P. Watt
Julia A. Knight
Tuong L. Nguyen
Anne S. Reiner
Kathleen E. Malone
Esther M. John
Charles F. Lynch
Jennifer D. Brooks
Meghan Woods
Xiaolin Liang
Leslie Bernstein
Malcolm C. Pike
John L. Hopper
Jonine L. Bernstein
Source :
International journal of cancer. 151(8)
Publication Year :
2022

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.

Details

ISSN :
10970215
Volume :
151
Issue :
8
Database :
OpenAIRE
Journal :
International journal of cancer
Accession number :
edsair.doi.dedup.....305ae327119e141be9907909f24a788c