Evidence map›Paper›PMID 40114883›Full record

ArticleIndian journal of surgical oncology2025

Does Contrast-Enhanced Mammography Outperform Digital Breast Tomosynthesis for Detection and Characterization of Breast Lesions or Vice Versa?

Veenu Singla, Pallavi T, Saumya Soni, Tulika Singh, Siddhant Khare, Amanjit Bal

Abstract read
In one paragraph

Article in Indian journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Veenu SinglaDepartment of Radiodiagnosis, PGIMER, Chandigarh, India.ORCID 0000-0002-7351-4964
Pallavi TDepartment of Radiodiagnosis, PGIMER, Chandigarh, India.
Saumya SoniDepartment of Radiodiagnosis, PGIMER, Chandigarh, India.
Tulika SinghDepartment of Radiodiagnosis, PGIMER, Chandigarh, India.
Siddhant KhareDepartment of Radiodiagnosis, PGIMER, Chandigarh, India.
Amanjit BalDepartment of Radiodiagnosis, PGIMER, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mammograms are the mainstay of diagnostic breast imaging and cancer screening. Despite mammography advances like full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT), these imaging techniques provide purely structural information. Though the most sensitive modality for breast cancer detection is magnetic resonance imaging (MRI), its widespread use has been limited due to high cost, long scan times, and lack of availability. Contrast-enhanced mammography (CEM) is a novel technique which combines dual energy FFDM with injection of iodinated contrast. It provides structural and functional imaging similar to MRI. The objectives of this study were to assess and compare the diagnostic performance of CEM and DBT in characterizing breast lesions and to analyze additional findings revealed by CEM and examining their implications for patient management. This was a single center prospective observational study on 58 women with BI-RADS category of 3, 4, and 5 breast lesions who underwent CEM following DBT. CEM detected 62 lesions, out of which 46 were categorized as suspicious/malignant and 16 as benign. On histopathology, 44 turned out to be malignant and 18 benign. CEM achieved a sensitivity of 100% and specificity of 88%. In contrast, DBT identified 56 of these 62 lesions (42 were malignant and 14 were benign on histopathology), with sensitivity of 95% and specificity of 77.8%. Compared to DBT, CEM provided superior delineation of disease extent, depicting multifocal and multicentric lesions, as well as picking up lesions in contralateral breasts, thereby altering patient management.

Indexed as

Contrast-enhanced mammographyDigital breast tomosynthesisFull-field digital mammographyMagnetic resonance imaging

Identifiers

PMID40114883
PMCPMC11920557

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