Evidence map›Paper›PMID 27428568›Full record

Observational studyAnnals of internal medicine2016

Variation in Mammographic Breast Density Assessments Among Radiologists in Clinical Practice: A Multicenter Observational Study.

Brian L Sprague, Emily F Conant, Tracy Onega, Michael P Garcia, Elisabeth F Beaber, Sally D Herschorn, Constance D Lehman, Anna N A Tosteson, Ronilda Lacson, Mitchell D Schnall and 5 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Annals of internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05021055 (Multicentric Study for External Validation of a Deep Learning Model for Mammographic Breast Density Categorization), which is not on this map. Cited by 97 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 2 pooled it
–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.

NCT05021055 unknown statusnot on this mapstarted 2021, after this paper: background citation

Multicentric Study for External Validation of a Deep Learning Model for Mammographic Breast Density Categorization

TypeobservationalSponsorHospital Italiano de Buenos AiresRan2021 to 2022Enrolled277ConditionsBreast Cancer
3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  10. Breast Imaging Reporting and Data System v2025: Key Updates in Mammography.Journal of the Korean Society of Radiology · 2026
    Review
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  17. Breast MRI to Screen Women With Extremely Dense Breasts.Journal of magnetic resonance imaging : JMRI · 2025
    Review
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37 more citing papers are in PubMed but not listed here.

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

15 authors.

Brian L SpragueFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Emily F ConantFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Tracy OnegaFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Michael P GarciaFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Elisabeth F BeaberFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Sally D HerschornFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Constance D LehmanFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Anna N A TostesonFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Ronilda LacsonFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Mitchell D SchnallFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Despina KontosFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Jennifer S HaasFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
Donald L WeaverFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
William E BarlowFrom University of Vermont, Burlington, Vermont; Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Fred Hutchinson Cancer Research Center and Cancer Research and Biostatistics, Seattle, Washington; and Massachusetts General Hospital and Brigham and Women's Hospital, Boston, Massachusetts.
PROSPR Consortium

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
PROSPR Statistical Coordinating Center (PSCC)U01CA163304 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BARLOW, WILLIAM E, THORNQUIST, MARK · 2011 to 2017
$7.5M
Penn Center for Innovation in Personalized Breast ScreeningU54CA163313 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ARMSTRONG, KATRINA, SCHNALL, MITCHELL D. · 2011 to 2017
$7.4M
Vermont Screening Process Documentation UnitU54CA163303 · NCI · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SPRAGUE, BRIAN L · 2011 to 2017
$6.4M
Promoting personalized decisions for breast cancer screening for women AND theirU54CA163307 · NCI · DARTMOUTH COLLEGE · PI HAAS, JENNIFER S, ONEGA, TRACY · 2011 to 2017
$6.1M
NCI NIH HHS P01 CA154292NCI NIH HHS P30 CA023108NCI NIH HHS U01 CA163304NCI NIH HHS U54 CA163303NCI NIH HHS U54 CA163307NCI NIH HHS U54 CA163313
6 · The paper itself

Abstract

Background: About half of the United States has legislation requiring radiology facilities to disclose mammographic breast density information to women, often with language recommending discussion of supplemental screening options for women with dense breasts. Objective: To examine variation in breast density assessment across radiologists in clinical practice. Design: Cross-sectional and longitudinal analyses of prospectively collected observational data. Setting: 30 radiology facilities within the 3 breast cancer screening research centers of the Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) consortium. Participants: Radiologists who interpreted at least 500 screening mammograms during 2011 to 2013 (n = 83). Data on 216 783 screening mammograms from 145 123 women aged 40 to 89 years were included. Measurements: Mammographic breast density, as clinically recorded using the 4 Breast Imaging Reporting and Data System categories (heterogeneously dense and extremely dense categories were considered "dense" for analyses), and patient age, race, and body mass index (BMI). Results: Overall, 36.9% of mammograms were rated as showing dense breasts. Across radiologists, this percentage ranged from 6.3% to 84.5% (median, 38.7% [interquartile range, 28.9% to 50.9%]), with multivariable adjustment for patient characteristics having little effect (interquartile range, 29.9% to 50.8%). Examination of patient subgroups revealed that variation in density assessment across radiologists was pervasive in all but the most extreme patient age and BMI combinations. Among women with consecutive mammograms interpreted by different radiologists, 17.2% (5909 of 34 271) had discordant assessments of dense versus nondense status. Limitation: Quantitative measures of mammographic breast density were not available for comparison. Conclusion: There is wide variation in density assessment across radiologists that should be carefully considered by providers and policymakers when considering supplemental screening strategies. The likelihood of a woman being told she has dense breasts varies substantially according to which radiologist interprets her mammogram. Primary Funding Source: National Institutes of Health.

Indexed as

Breast DensityMammographyObserver VariationRadiologistsAdultAgedAged, 80 and overBreastBreast NeoplasmsClinical Decision-MakingCross-Sectional StudiesEarly Detection of CancerFemaleHumansLongitudinal StudiesMass Screening

Identifiers

PMID27428568
PMCPMC5050130

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Registered trials

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.