Evidence map›Paper›PMID 32903054›Full record

ReviewAJR. American journal of roentgenology2021

Screening Algorithms in Dense Breasts:

Wendie A Berg, Elizabeth A Rafferty, Sarah M Friedewald, Carrie B Hruska, Habib Rahbar

Open access · greenAbstract readReview
In one paragraph

Review in AJR. American journal of roentgenology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Current Concepts in Molecular Breast Imaging.Journal of breast imaging · 2025
    Review
  13. Article
  14. Article
  15. A Survey of Patient Experience During Molecular Breast Imaging.Journal of nuclear medicine technology · 2024
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 1 country.

Wendie A BergDepartment of Radiology, University of Pittsburgh School of Medicine, UPMC Magee-Womens Hospital, 300 Halket St, Pittsburgh, PA 15213.
Elizabeth A RaffertyL & M Radiology, Andover Medical Center, Andover, MA.
Sarah M FriedewaldDepartment of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, IL.
Carrie B HruskaDepartment of Radiology, Mayo Clinic Rochester, Rochester, MN.
Habib RahbarDepartment of Radiology, University of Washington School of Medicine, Seattle Cancer Care Alliance, Seattle, WA.
Andover Eye Associates · USMayo Clinic · USNorthwestern University · USSeattle Cancer Care Alliance · USUniversity of Pittsburgh · US

Funding

Assessment of periodic screening of women with denser breast using WBUS and DBTR01CA187593 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BERG, WENDIE A · 2015 to 2019
$3.1M
Validation and Standardization of the Apparent Diffusion Coefficient as a Quantitative Imaging Biomarker in Breast CancerR01CA207290 · NCI · UNIVERSITY OF WASHINGTON · PI PARTRIDGE, SAVANNAH CORRINA · 2017 to 2022
$2.2M
MRI Characterization of Biological Risk of Ductal Carcinoma in SituR01CA203883 · NCI · UNIVERSITY OF WASHINGTON · PI RAHBAR, HABIBOLLAH · 2017 to 2021
$1.8M
NCI NIH HHS R01 CA187593NCI NIH HHS R01 CA203883NCI NIH HHS R01 CA207290
6 · The paper itself

Abstract

Screening mammography reduces breast cancer mortality; however, when used to examine women with dense breasts, its performance and resulting benefits are reduced. Increased breast density is an independent risk factor for breast cancer. Digital breast tomosynthesis (DBT), ultrasound (US), molecular breast imaging (MBI), MRI, and contrast-enhanced mammography (CEM) each have shown improved cancer detection in dense breasts when compared with 2D digital mammography (DM). DBT is the preferred mammographic technique for producing a simultaneous reduction in recalls (i.e., additional imaging). US further increases cancer detection after DM or DBT and reduces interval cancers (cancers detected in the interval between recommended screening examinations), but it also produces substantial additional false-positive findings. MBI improves cancer detection with an effective radiation dose that is approximately fourfold that of DM or DBT but is still within accepted limits. MRI provides the greatest increase in cancer detection and reduces interval cancers and late-stage disease; abbreviated techniques will reduce cost and improve availability. CEM appears to offer performance similar to that of MRI, but further validation is needed. Dense breast notification will soon be a national standard; therefore, understanding the performance of mammography and supplemental modalities is necessary to optimize screening for women with dense breasts.

Indexed as

AlgorithmsMammographyBreast DensityBreast NeoplasmsEarly Detection of CancerFemaleHumansbreast densitycontrast-enhanced mammographymolecular breast imagingMRItomosynthesisultrasound

Identifiers

PMID32903054
PMCPMC8101043
OpenAlexW3084362228

What OpenQuestion holds

Textmetadata
LicenceTDM
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.