Evidence map›Paper›PMID 27209070›Full record

ArticleBreast cancer research : BCR2016

Case-control study of mammographic density and breast cancer risk using processed digital mammograms.

Laurel A Habel, Jafi A Lipson, Ninah Achacoso, Joseph H Rothstein, Martin J Yaffe, Rhea Y Liang, Luana Acton, Valerie McGuire, Alice S Whittemore, Daniel L Rubin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  9. Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
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  14. Age at Menarche and Late Adolescent Adiposity Associated with Mammographic Density on Processed Digital Mammograms in 24,840 Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
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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 at 3 institutions in 2 countries.

Laurel A HabelDivision of Research, Kaiser Permanente Northern California, Oakland, CA, 94612, USA. laurel.habel@kp.org.
Jafi A LipsonDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Ninah AchacosoDivision of Research, Kaiser Permanente Northern California, Oakland, CA, 94612, USA.
Joseph H RothsteinDepartment of Health Research and Policy, Division of Epidemiology, Stanford University School of Medicine, Stanford, CA, USA.
Martin J YaffeDepartments of Medical Biophysics and Medical Imaging, Sunnybrook Research Institute, University of Toronto, Toronto, Canada.
Rhea Y LiangDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Luana ActonDivision of Research, Kaiser Permanente Northern California, Oakland, CA, 94612, USA.
Valerie McGuireDepartment of Health Research and Policy, Division of Epidemiology, Stanford University School of Medicine, Stanford, CA, USA.
Alice S WhittemoreDepartment of Health Research and Policy, Division of Epidemiology, Stanford University School of Medicine, Stanford, CA, USA.
Daniel L RubinDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Weiva SiehDepartment of Health Research and Policy, Division of Epidemiology, Stanford University School of Medicine, Stanford, CA, USA.
Stanford University · USKaiser Permanente · USOntario Institute for Cancer Research · CA

Funding

A Resource for Genetic Epidemiology Research in Adult Health and AgingRC2AG036607 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI RISCH, NEIL J., SCHAEFER, CATHERINE ANN · 2009 to 2010
$24.8M
Genome-Wide Association Study of Mammographic DensityR01CA166827 · NCI · STANFORD UNIVERSITY · PI HABEL, LAUREL A, SIEH, WEIVA · 2012 to 2016
$2.3M
Mammographic Density & Prognosis among Breast Cancer Intrinsic SubtypesR01CA168893 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI HABEL, LAUREL A · 2012 to 2015
$2.1M
Genetic Epidemiology of Ovarian and Prostate CancerK07CA143047 · NCI · STANFORD UNIVERSITY · PI SIEH, WEIVA · 2010 to 2014
$867k
NCI NIH HHS K07 CA143047NCI NIH HHS R01 CA166827NCI NIH HHS R01 CA168893NIA NIH HHS RC2 AG036607
6 · The paper itself

Abstract

backgroundFull-field digital mammography (FFDM) has largely replaced film-screen mammography in the US. Breast density assessed from film mammograms is strongly associated with breast cancer risk, but data are limited for processed FFDM images used for clinical care.

methodsWe conducted a case-control study nested among non-Hispanic white female participants of the Research Program in Genes, Environment and Health of Kaiser Permanente Northern California who were aged 40 to 74 years and had screening mammograms acquired on Hologic FFDM machines. Cases (n = 297) were women with a first invasive breast cancer diagnosed after a screening FFDM. For each case, up to five controls (n = 1149) were selected, matched on age and year of FFDM and image batch number, and who were still under follow-up and without a history of breast cancer at the age of diagnosis of the matched case. Percent density (PD) and dense area (DA) were assessed by a radiological technologist using Cumulus. Conditional logistic regression was used to estimate odds ratios (ORs) for breast cancer associated with PD and DA, modeled continuously in standard deviation (SD) increments and categorically in quintiles, after adjusting for body mass index, parity, first-degree family history of breast cancer, breast area, and menopausal hormone use.

resultsMedian intra-reader reproducibility was high with a Pearson's r of 0.956 (range 0.902 to 0.983) for replicate PD measurements across 23 image batches. The overall mean was 20.02 (SD, 14.61) for PD and 27.63 cm(2) (18.22 cm(2)) for DA. The adjusted ORs for breast cancer associated with each SD increment were 1.70 (95 % confidence interval, 1.41-2.04) for PD, and 1.54 (1.34-1.77) for DA. The adjusted ORs for each quintile were: 1.00 (ref.), 1.49 (0.91-2.45), 2.57 (1.54-4.30), 3.22 (1.91-5.43), 4.88 (2.78-8.55) for PD, and 1.00 (ref.), 1.43 (0.85-2.40), 2.53 (1.53-4.19), 2.85 (1.73-4.69), 3.48 (2.14-5.65) for DA.

conclusionsPD and DA measured using Cumulus on processed FFDM images are positively associated with breast cancer risk, with similar magnitudes of association as previously reported for film-screen mammograms. Processed digital mammograms acquired for routine clinical care in a general practice setting are suitable for breast density and cancer research.

Indexed as

Breast DensityAdultAgedAged, 80 and overBreast NeoplasmsCaliforniaCase-Control StudiesEarly Detection of CancerFemaleHumansMammographyMiddle AgedOdds RatioRiskSEER ProgramWhite PeopleBreast cancerEpidemiologyMammographic densityMammographyRisk factors

Identifiers

PMID27209070
PMCPMC4875652
OpenAlexW2398471040

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.