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Association of contralateral breast cancer risk with mammographic density defined at higher-than-conventional intensity thresholds.
Watt, Gordon P; Knight, Julia A; Nguyen, Tuong L; Reiner, Anne S; Malone, Kathleen E; John, Esther M; Lynch, Charles F; Brooks, Jennifer D; Woods, Meghan; Liang, Xiaolin; Bernstein, Leslie; Pike, Malcolm C; Hopper, John L; Bernstein, Jonine L.
Affiliation
  • Watt GP; Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Knight JA; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada.
  • Nguyen TL; Dalla Lana School of Public Health Sciences, University of Toronto, Toronto, Ontario, Canada.
  • Reiner AS; Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia.
  • Malone KE; Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • John EM; Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
  • Lynch CF; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, California, USA.
  • Brooks JD; University of Iowa, Iowa City, Iowa, USA.
  • Woods M; Dalla Lana School of Public Health Sciences, University of Toronto, Toronto, Ontario, Canada.
  • Liang X; Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Bernstein L; Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Pike MC; Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, California, USA.
  • Hopper JL; Memorial Sloan Kettering Cancer Center, New York, New York, USA.
  • Bernstein JL; Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia.
Int J Cancer ; 151(8): 1304-1309, 2022 10 15.
Article in En | MEDLINE | ID: mdl-35315524
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Unilateral Breast Neoplasms Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Int J Cancer Year: 2022 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Unilateral Breast Neoplasms Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Int J Cancer Year: 2022 Document type: Article Affiliation country: United States
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