Evidence map›Paper›PMID 28943893›Full record

ArticleBreast cancer management2015

Current and Future Methods for Measuring Breast Density: A Brief Comparative Review.

Mark A Sak, Peter J Littrup, Neb Duric, Maeve Mullooly, Mark E Sherman, Gretchen L Gierach

Abstract read
In one paragraph

Article in Breast cancer management, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Calibrated Breast Density Measurements.Academic radiology · 2019
    Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review of quantitative multiscale imaging of breast cancer.Journal of medical imaging (Bellingham, Wash.) · 2018
    Review
  18. Article
  19. Article
  20. Using Speed of Sound Imaging to Characterize Breast Density.Ultrasound in medicine & biology · 2017
    Observational
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

6 authors.

Mark A SakKarmanos Cancer Institute, Wayne State University, 4100 John R Street, Detroit MI 48201.
Peter J LittrupDelphinus Medical Technologies, 46701 Commerce Center Dr, Plymouth, MI, 48170.
Neb DuricKarmanos Cancer Institute, Wayne State University, 4100 John R Street, Detroit MI 48201.
Maeve MulloolyHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Mark E ShermanBreast and Gynecologic Cancer Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA.
Gretchen L GierachHormonal and Reproductive Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.

Funding

Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
Transitioning the SoftVue Breast Scanner to the clinical marketplaceR44CA165320 · NCI · DELPHINUS MEDICAL TECHNOLOGIES, INC. · PI DURIC, NEBOJSA · 2012 to 2018
$3.8M
Intramural NIH HHS ZIA CP010126NCI NIH HHS HHSN261201400038CNCI NIH HHS R44 CA165320
6 · The paper itself

Abstract

Breast density is one of the strongest predictors of breast cancer risk. Women with the densest breasts are 4 to 6 times more likely to develop cancer compared with those with the lowest densities. Breast density is generally assessed using mammographic imaging; however, this approach has limitations. Magnetic resonance imaging and ultrasound tomography are some alternative imaging modalities that can aid mammography in patient screening and the measurement of breast density. As breast density becomes more commonly discussed, knowledge of the advantages and limitations of breast density as a marker of risk will become more critical. This review article discusses the relationship between breast density and breast cancer risk, lists the benefits and drawbacks of using multiple different imaging modalities to measure density and briefly discusses how breast density will be applied to aid in breast cancer prevention and treatment.

Indexed as

Breast cancer riskBreast densityMammographyUltrasound tomography

Identifiers

PMID28943893
PMCPMC5609705

What OpenQuestion holds

Textmetadata
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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.