Evidence map›Paper›PMID 40163666›Full record

ReviewJournal of breast imaging2025

Breast Arterial Calcifications on Mammography: A Review of the Literature.

Joanna Rossi, Leslie Cho, Mary S Newell, Luz A Venta, Guy H Montgomery, Stamatia V Destounis, Linda Moy, Rachel F Brem, Chirag Parghi, Laurie R Margolies

Abstract readReview
In one paragraph

Review in Journal of breast imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
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

10 authors.

Joanna RossiJohns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-6954-4669
Leslie ChoDepartment of Cardiovascular Medicine, Heart, Vascular & Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0002-1190-1774
Mary S NewellEmory University School of Medicine, Atlanta, GA, USA.
Luz A VentaHouston Methodist Hospital and Weill Medical College of Cornell University, Houston, Texas, USA.
Guy H MontgomeryDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Stamatia V DestounisElizabeth Wende Breast Care, Rochester, NY, USA.
Linda MoyDepartment of Radiology, New York University Grossman School of Medicine, New York, NY, USA.
Rachel F BremDepartment of Radiology, The George Washington University, Washington, DC, USA.
Chirag ParghiSolis Mammography, Addison, Texas, USA.
Laurie R MargoliesDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-7037-7570

Funding

Enhancing the public health benefits of mammography screening by informing women of both breast cancer and breast arterial calcification results: A randomized trial to promote cardiovascular healthR01CA251754 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MONTGOMERY, GUY H · 2021 to 2025
$3.4M
NCI NIH HHS R01 CA251754
6 · The paper itself

Abstract

Identifying systemic disease with medical imaging studies may improve population health outcomes. Although the pathogenesis of peripheral arterial calcification and coronary artery calcification differ, breast arterial calcification (BAC) on mammography is associated with cardiovascular disease (CVD), a leading cause of death in women. While professional society guidelines on the reporting or management of BAC have not yet been established, and assessment and quantification methods are not yet standardized, the value of reporting BAC is being considered internationally as a possible indicator of subclinical CVD. Furthermore, artificial intelligence (AI) models are being developed to identify and quantify BAC on mammography, as well as to predict the risk of CVD. This review outlines studies evaluating the association of BAC and CVD, introduces the role of preventative cardiology in clinical management, discusses reasons to consider reporting BAC, acknowledges current knowledge gaps and barriers to assessing and reporting calcifications, and provides examples of how AI can be utilized to measure BAC and contribute to cardiovascular risk assessment. Ultimately, reporting BAC on mammography might facilitate earlier mitigation of cardiovascular risk factors in asymptomatic women.

Indexed as

BreastBreast DiseasesMammographyVascular CalcificationArtificial IntelligenceCardiovascular DiseasesFemaleHumansartificial intelligencebreast arterial calcificationscardiovascular diseasecoronary artery diseasemammography

Identifiers

PMID40163666
PMCPMC12086085

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.