Evidence map›Paper›PMID 41241787›Full record

ArticleCancer2025

Racial differences in quantitative background parenchymal enhancement on breast magnetic resonance imaging.

Mattia A Mahmoud, Christine E Edmonds, Bruno Barufaldi, Alex Nguyen, Oluwadamilola M Fayanju, Routiakou Sore, Sarah Ehsan, Carla R Zeballos Torrez, Jinbo Chen, Despina Kontos and 1 more

Abstract read
In one paragraph

Article in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mattia A MahmoudDepartment of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-4239-0137
Christine E EdmondsAbramson Cancer Center, Penn Medicine, Philadelphia, Pennsylvania, USA.
Bruno BarufaldiDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Alex NguyenDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Oluwadamilola M FayanjuAbramson Cancer Center, Penn Medicine, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-0876-975X
Routiakou SoreDepartment of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sarah EhsanDepartment of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-9328-1187
Carla R Zeballos TorrezDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jinbo ChenDepartment of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Despina KontosDepartment of Radiology, Columbia University Irving Medical Center, New York, New York, USA.
Anne Marie McCarthyDepartment of Biostatistics, Epidemiology, & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

American Cancer Society 400.4611.4.586894.3000.2446.4739Breast Cancer Research FoundationNIH HHSSusan G. Komen ASP241260597
6 · The paper itself

Abstract

importanceAlthough Black women have higher absolute quantitative breast density, they are often assigned lower subjectively determined Breast Imaging and Reporting Data System (BI-RADS) density scores than White women. Background parenchymal enhancement (BPE) on breast magnetic resonance imaging is independently linked to breast cancer risk and may improve risk stratification for Black and White women.

objectiveTo evaluate differences in quantitative BPE between Black and White women and determine whether breast cancer risk factors mediate these differences. DESIGN, SETTING, AND

participantsA cross-sectional study of 1202 women (200 Black, 1002 White; aged 40-74 years) with negative mammograms and no breast cancer history who underwent breast magnetic resonance imaging between 2016 and 2023 at an academic medical center. EXPOSURES: Self-reported race (Black vs. White). MAIN OUTCOMES AND MEASURES: The primary outcome was automated, quantitative BPE (median BPE and BPE ratio). Covariates included BI-RADS density, fibroglandular tissue volume, qualitative BPE, age, body mass index, and menopausal status.

resultsFewer Black women were classified as having extremely dense breasts (10% vs. 21%; p < .01), yet similar proportions had high qualitative BPE (35% vs. 29%; p = .29). Quantitative BPE was significantly higher in Black women (median difference, 1.51; standard deviation, 9; 95% CI, 0.13-2.90), independent of covariates. No risk factors mediated this difference. CONCLUSIONS AND RELEVANCE: Despite lower BI-RADS density in Black women, as suggested by prior literature, higher quantitative BPE was found, suggesting that BPE captures aspects of breast tissue composition not reflected by density. Future studies can incorporate BPE into risk models, which can improve performance and reduce disparities in risk prediction.

Indexed as

BreastBreast DensityBreast NeoplasmsMagnetic Resonance ImagingAdultAgedBlack or African AmericanCross-Sectional StudiesFemaleHumansMammographyMiddle AgedRisk FactorsWhiteBI‐RADSbreast densityMRIquantitative BPErace

Identifiers

PMID41241787
PMCPMC12619913

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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.