Evidence map›Paper›PMID 31084476›Full record

ReviewRadiology2019

Digital Breast Tomosynthesis: Concepts and Clinical Practice.

Alice Chong, Susan P Weinstein, Elizabeth S McDonald, Emily F Conant

Abstract readReview
In one paragraph

Review in Radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 3 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.

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

77 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Local Diagnostic Reference Levels in Digital Breast Tomosynthesis.Journal of medical radiation sciences · 2025
    Article
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  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
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  20. Article

17 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

4 authors.

Alice ChongFrom the Department of Radiology, Division of Breast Imaging, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104. From the 2016 RSNA Annual Meeting.ORCID 0000-0002-9763-3829
Susan P WeinsteinFrom the Department of Radiology, Division of Breast Imaging, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104. From the 2016 RSNA Annual Meeting.ORCID 0000-0001-6159-1500
Elizabeth S McDonaldFrom the Department of Radiology, Division of Breast Imaging, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104. From the 2016 RSNA Annual Meeting.ORCID 0000-0002-7209-4216
Emily F ConantFrom the Department of Radiology, Division of Breast Imaging, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104. From the 2016 RSNA Annual Meeting.ORCID 0000-0001-9331-644X

Funding

Penn Center for Innovation in Personalized Breast ScreeningU54CA163313 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ARMSTRONG, KATRINA, SCHNALL, MITCHELL D. · 2011 to 2017
$7.4M
NCI NIH HHS U54 CA163313
6 · The paper itself

Abstract

Digital breast tomosynthesis (DBT) is emerging as the standard of care for breast imaging based on improvements in both screening and diagnostic imaging outcomes. The additional information obtained from the tomosynthesis acquisition decreases the confounding effect of overlapping tissue, allowing for improved lesion detection, characterization, and localization. In addition, the quasi three-dimensional information obtained from the reconstructed DBT data set allows a more efficient imaging work-up than imaging with two-dimensional full-field digital mammography alone. Herein, the authors review the benefits of DBT imaging in screening and diagnostic breast imaging.

Indexed as

BreastBreast NeoplasmsFemaleHumansMammography

Identifiers

PMID31084476
PMCPMC6604796

What OpenQuestion holds

Textmetadata
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.