Evidence map›Paper›PMID 41146388›Full record

ReviewKorean journal of radiology2025

Contrast-Enhanced Mammography: Advances, Challenges, and Case-Based Insights.

Noam Nissan, Janice S Sung

Abstract readReview
In one paragraph

Review in Korean journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Noam NissanDepartment of Radiology, Sheba Medical Center, Ramat Gan, Israel.ORCID https://orcid.org/0000-0001-5416-4199
Janice S SungDepartment of Radiology, Columbia University, New York, USA. js6739@cumc.columbia.edu.ORCID https://orcid.org/0000-0002-9067-9840

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contrast-enhanced mammography (CEM) has increasingly been established as a valuable tool in breast imaging that enhances lesion detection and characterization by combining functional and anatomical information. This review highlights the recent key advances in CEM technology, explores its expanding clinical applications, and discusses the common interpretation pitfalls and current limitations. Instead of offering a comprehensive overview, this review focuses on providing a case-based perspective on emerging applications and how CEM can be efficiently incorporated into clinical practice. Through illustrative case examples, we offer practical insights into optimizing breast imaging strategies and demonstrate how CEM can effectively complement other imaging modalities in both routine practice and complex diagnostic scenarios.

Indexed as

Breast NeoplasmsContrast MediaMammographyRadiographic Image EnhancementFemaleHumansContrast MediaBackground parenchymal enhancementBreast MRIContrast-enhanced mammographyDense breastSupplementary screening

Identifiers

PMID41146388
PMCPMC12568763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.