Evidence map›Paper›PMID 41024129›Full record

ArticleBreast cancer research : BCR2025

Interplay of BMI and volumetric breast density measures and breast cancer risk for black and white women.

Mattia A Mahmoud, Stacey J Winham, Christopher G Scott, Sarah Ehsan, Aaron D Norman, Matthew R Jensen, Emily F Conant, Karla M Kerlikowske, Despina Kontos, Celine M Vachon and 1 more

Abstract read
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Article in Breast cancer research : BCR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Mattia A MahmoudDepartment of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, 833 Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104, USA.
Stacey J WinhamDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Christopher G ScottDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Sarah EhsanDepartment of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, 833 Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104, USA.
Aaron D NormanDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Matthew R JensenDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Emily F ConantDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Karla M KerlikowskeDepartment of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Despina KontosDepartment of Radiology, Columbia University Irving Medical Center, New York City, NY, USA.
Celine M Vachon *Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Anne Marie McCarthy *Department of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, 833 Blockley Hall, 423 Guardian Drive, Philadelphia, PA, 19104, USA. annemcc@pennmedicine.upenn.edu.

Funding

Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARLA M KERLIKOWSKE · 2011 to 2026
$52.9M
Radiomic phenotypes of breast parenchyma and association with breast cancer risk and detectionR01CA207084 · NCI · MAYO CLINIC ROCHESTER · PI KERLIKOWSKE, KARLA M, KONTOS, DESPINA · 2017 to 2021
$3.2M
Evaluation of novel tomosynthesis density measures in breast cancer risk predictionR01CA275074 · NCI · MAYO CLINIC ROCHESTER · PI KARLA M KERLIKOWSKE, Despina Kontos · 2023 to 2026
$2.7M
American Cancer Society RSG-23-1038098-01-HOPS, PASD-22-1003156-01-PASDNCI NIH HHS P01 CA154292NCI NIH HHS R01 CA207084NCI NIH HHS R01 CA275074NIH HHS NIH CA275074, CA207084Susan G. Komen ASP241260597
6 · The paper itself

Abstract

backgroundBlack women have lower Breast Imaging Reporting and Data System (BI-RADS) breast density than White women, likely due to body mass index (BMI) differences. No studies have directly compared BMI, race, and volumetric breast density in relation to breast cancer risk. This study examines the associations between BI-RADS density and Volpara-derived volumetric breast density measures and breast cancer risk in non-Hispanic Black and White women, focusing on BMI’s influence.

methodsA nested case-control study was conducted with 3699 women (526 Black, 3173 White) from Mayo Clinic and the University of Pennsylvania. Invasive breast cancer cases (n = 1013) were matched with controls (n = 2686). Breast density was assessed using BI-RADS density categories and continuous density measures from Volpara, including dense volume and volumetric percent density. Conditional logistic regression was used to evaluate associations between density measures and breast cancer risk, adjusting for BMI and age.

resultsBlack women had higher dense volume but lower volumetric percent density and BI-RADS density compared with White women. All density measures were significantly associated with breast cancer risk in both groups, with stronger associations after BMI adjustment for BI-RADS density and volumetric percent density. BI-RADS density showed a stronger association in Black women (OR  2.06, 95% CI 1.45–2.91) than in White women (OR  1.55, 95% CI 1.38–1.74) when adjusted for BMI (p-interaction = 0.04). Dense volume showed similar predictive value for both groups, regardless of BMI adjustment.

conclusionUsing BI-RADS density categories to assess breast cancer risk requires adjustment for BMI for equitable comparison of predictive values across race. Associations of dense volume are not altered when BMI is included as an adjustment factor.

Indexed as

Black or African AmericanBody Mass IndexBreast DensityBreast NeoplasmsWhiteAdultAgedCase-Control StudiesFemaleHumansMammographyMiddle AgedRisk FactorsBody mass indexBreast cancer riskInteractionQuantitative breast density

Identifiers

PMID41024129
PMCPMC12482891

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.