Gordon P. Watt, Krishna N Keshavamurthy, T. Nguyen, M. Lobbes, M. Jochelson, Janice S. Sung, C. Moskowitz, Prusha Patel, Xiaolin Liang, Meghan Woods, John L. Hopper, M. C. Pike, J. Bernstein
{"title":"Association of breast cancer with quantitative mammographic density measures for women receiving contrast-enhanced mammography.","authors":"Gordon P. Watt, Krishna N Keshavamurthy, T. Nguyen, M. Lobbes, M. Jochelson, Janice S. Sung, C. Moskowitz, Prusha Patel, Xiaolin Liang, Meghan Woods, John L. Hopper, M. C. Pike, J. Bernstein","doi":"10.1093/jncics/pkae026","DOIUrl":null,"url":null,"abstract":"Women with high mammographic density (MD) have an increased risk of breast cancer. They may be offered contrast-enhanced mammogram (CEM) to improve breast cancer screening performance. Using a cohort of women receiving CEM, we evaluated whether conventional and modified MD measures were associated with breast cancer. Sixty-six cases with newly diagnosed unilateral breast cancer were frequency-matched on age to 133 cancer-free controls. On low-energy cranio-caudal CEMs (equivalent to standard mammogram), we measured quantitative MD using CUMULUS software at the conventional intensity threshold (\"Cumulus\") and higher-than-conventional thresholds (\"Altocumulus\", \"Cirrocumulus\"). The measures were standardized to enable estimation of odds per age- and adiposity-adjusted standard deviation (OPERA). In multivariable logistic regression of case-control status, only the highest-intensity measure, Cirrocumulus, was statistically significantly associated with breast cancer (OPERA = 1.40, 95% CI 1.04-1.89). Conventional Cumulus did not contribute to model fit. For women receiving CEM, Cirrocumulus MD might better predict breast cancer than conventional quantitative MD.","PeriodicalId":14681,"journal":{"name":"JNCI Cancer Spectrum","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JNCI Cancer Spectrum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jncics/pkae026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Women with high mammographic density (MD) have an increased risk of breast cancer. They may be offered contrast-enhanced mammogram (CEM) to improve breast cancer screening performance. Using a cohort of women receiving CEM, we evaluated whether conventional and modified MD measures were associated with breast cancer. Sixty-six cases with newly diagnosed unilateral breast cancer were frequency-matched on age to 133 cancer-free controls. On low-energy cranio-caudal CEMs (equivalent to standard mammogram), we measured quantitative MD using CUMULUS software at the conventional intensity threshold ("Cumulus") and higher-than-conventional thresholds ("Altocumulus", "Cirrocumulus"). The measures were standardized to enable estimation of odds per age- and adiposity-adjusted standard deviation (OPERA). In multivariable logistic regression of case-control status, only the highest-intensity measure, Cirrocumulus, was statistically significantly associated with breast cancer (OPERA = 1.40, 95% CI 1.04-1.89). Conventional Cumulus did not contribute to model fit. For women receiving CEM, Cirrocumulus MD might better predict breast cancer than conventional quantitative MD.