ReviewCancer imaging : the official publication of the International Cancer Imaging Society2023
Contrast enhanced mammography: focus on frequently encountered benign and malignant diagnoses.
Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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.
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Who cites it
15 citing papers in PubMed, 32 citations in OpenAlex.
- A rare presentation of male breast atypical papillary lesion.Radiology case reports · 2026Article
- Bilateral breast plasmacytomas in a male patient with relapsed multiple myeloma: A case report.Radiology case reports · 2026Article
- Molecular and Biological Features of Invasive Lobular Carcinoma: Toward New Treatment Strategies.Annals of surgical oncology · 2026Review
- Achieving single-contrast administration for enhanced chest CT and contrast-enhanced spectral mammography without compromising diagnostic quality: a comparative study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
- Article
- Contrast-Enhanced Mammography: Advances, Challenges, and Case-Based Insights.Korean journal of radiology · 2025Review
- Improving the diagnostic performance of contrast-enhanced mammography through lesion conspicuity and enhancement quantification.European radiology · 2025Article
- Detection of a contralateral breast malignancy using contrast-enhanced mammography (CEM) overlooked by initial MRI scan.Radiology case reports · 2025Article
- Contrast-Enhanced Mammography in Breast Lesion Assessment: Accuracy and Surgical Impact.Tomography (Ann Arbor, Mich.) · 2025Article
- Contrast-enhanced mammography-based interpretable machine learning model for the prediction of the molecular subtype breast cancers.BMC medical imaging · 2025Article
- Contrast-enhanced mammography improves patient access to functional breast imaging.Journal of medical imaging and radiation oncology · 2025Review
- Diagnostic dilemma of lobular carcinoma: a mini-review of imaging modalities and the role of artificial intelligence and radiomics.Frontiers in oncology · 2025Review
- Review
- Role of contrast-enhanced mammogram as an adjunct to tomosynthesis in evaluation of circumscribed breast lesions.The British journal of radiology · 2024Article
- Contrast-enhanced mammography BI-RADS: a case-based approach to radiology reporting.Insights into imaging · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Contrast-enhanced mammography (CEM) is becoming a widely adopted modality in breast imaging over the past few decades and exponentially so over the last few years, with strong evidence of high diagnostic performance in cancer detection. Evidence is also growing indicating comparative performance of CEM to MRI in sensitivity with fewer false positive rates. As application of CEM ranges from potential use in screening dense breast populations to staging of known breast malignancy, increased familiarity with the modality and its implementation, and disease processes encountered becomes of great clinical significance. This review emphasizes expected normal findings on CEM followed by a focus on examples of the commonly encountered benign and malignant pathologies on CEM.
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Registered trials
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.