Association of breast cancer with quantitative mammographic density measures for women receiving contrast-enhanced mammography Journal Article


Authors: Watt, G. P.; Keshavamurthy, K. N.; Nguyen, T. L.; Lobbes, M. B. I.; Jochelson, M. S.; Sung, J. S.; Moskowitz, C. S.; Patel, P.; Liang, X.; Woods, M.; Hopper, J. L.; Pike, M. C.; Bernstein, J. L.
Article Title: Association of breast cancer with quantitative mammographic density measures for women receiving contrast-enhanced mammography
Abstract: Women 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.
Keywords: adult; controlled study; aged; major clinical study; case control study; disease association; breast cancer; cohort analysis; odds ratio; cancer screening; confidence interval; quantitative analysis; multivariate logistic regression analysis; software; breast density; human; female; article; statistically significant result; contrast enhanced mammography
Journal Title: JNCI Cancer Spectrum
Volume: 8
Issue: 3
ISSN: 2515-5091
Publisher: Oxford University Press  
Date Published: 2024-06-01
Start Page: pkae026
Language: English
DOI: 10.1093/jncics/pkae026
PUBMED: 38565262
PROVIDER: scopus
PMCID: PMC11060476
DOI/URL:
Notes: The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PDF -- Corresponding author is MSK author: Gordon P. Watt -- Source: Scopus
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MSK Authors
  1. Janice Sinae Sung
    67 Sung
  2. Malcolm Pike
    190 Pike
  3. Maxine Jochelson
    134 Jochelson
  4. Chaya S. Moskowitz
    278 Moskowitz
  5. Jonine L Bernstein
    142 Bernstein
  6. Xiaolin Liang
    62 Liang
  7. Prusha   Patel
    16 Patel
  8. Meghan   Woods
    30 Woods
  9. Gordon Patrick Watt
    16 Watt