Gordon P Watt, Krishna N Keshavamurthy, Tuong L Nguyen, Marc B I Lobbes, Maxine S Jochelson, Janice S Sung, Chaya S Moskowitz, Prusha Patel, Xiaolin Liang, Meghan Woods, John L Hopper, Malcolm C Pike, Jonine L Bernstein
JNCI cancer spectrum 2024 Apr 30Women with high mammographic density have an increased risk of breast cancer. They may be offered contrast-enhanced mammography to improve breast cancer screening performance. Using a cohort of women receiving contrast-enhanced mammography, we evaluated whether conventional and modified mammographic density measures were associated with breast cancer. Sixty-six patients with newly diagnosed unilateral breast cancer were frequency matched on the basis of age to 133 cancer-free control individuals. On low-energy craniocaudal contrast-enhanced mammograms (equivalent to standard mammograms), we measured quantitative mammographic density 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 ratio per 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% confidence interval = 1.04 to 1.89). Conventional Cumulus did not contribute to model fit. For women receiving contrast-enhanced mammography, Cirrocumulus mammographic density may better predict breast cancer than conventional quantitative mammographic density. © The Author(s) 2024. Published by Oxford University Press.
Gordon P Watt, Krishna N Keshavamurthy, Tuong L Nguyen, Marc B I Lobbes, Maxine S Jochelson, Janice S Sung, Chaya S Moskowitz, Prusha Patel, Xiaolin Liang, Meghan Woods, John L Hopper, Malcolm C Pike, Jonine L Bernstein. Association of breast cancer with quantitative mammographic density measures for women receiving contrast-enhanced mammography. JNCI cancer spectrum. 2024 Apr 30;8(3)
PMID: 38565262
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