Evidence map›Paper›PMID 40657666›Full record

ArticleJournal of applied clinical medical physics2025

Phantom-based comparative analysis of contrast-enhanced mammography systems: Image quality and performance evaluation.

Giulia Bruschi, Valerio Ricciardi, Paolo De Marco, Daniela Origgi

Abstract readComparative Study
In one paragraph

Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Giulia BruschiSchool of Medical Physics, University of Milan, Milan, Italy.
Valerio RicciardiSchool of Medical Physics, University of Milan, Milan, Italy.ORCID https://orcid.org/0000-0003-1273-9323
Paolo De MarcoMedical Physics Unit, IEO European Institute of Oncology IRCCS, Milan, Italy.ORCID https://orcid.org/0000-0001-8264-7219
Daniela OriggiMedical Physics Unit, IEO European Institute of Oncology IRCCS, Milan, Italy.ORCID https://orcid.org/0000-0003-1338-312X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeContrast-enhanced mammography (CEM) is a technique that exploits the combination of two projections at different energies to produce an energy-subtracted (ES) image to highlight the uptake of iodinated contrast medium in breast lesions. The aim of this study is to analyze and compare the performance of different CEM systems.

methodsFour mammography systems of different vendors (Fujifilm Amulet Innovality, Hologic 3Dimensions, IMS Giotto Class, GE Senographe Pristina) were compared employing a commercial dedicated phantom, equipped with a breast-equivalent target slab with four different iodine concentrations (IC) inserts. Acquisition parameters and average glandular dose (AGD) were collected at different phantom thicknesses (30-80 mm). Contrast-to-noise ratio (CNR) and linearity of IC response with phantom thickness were evaluated.

resultsAGDs (mGy) were in ranges 0.82-3.10, 0.90-6.25, 1.08-3.30, and 0.74-3.63 for Fujifilm, Hologic, GE, and IMS, respectively. High-energy AGD accounted for up to 41.5%, 25.6%, 40.5%, and 23.8% of the total dose for Fujifilm, Hologic, IMS, and GE, respectively. CNR increased with IC and generally decreased with increasing phantom thickness. In recombined images, Hologic, Fujifilm, and GE showed good linearity of IC response with phantom thickness and overlapping trends (maximum error = 1%) for all thicknesses.

conclusionSimilarities and differences in image quality and dose were found depending on the different technical and image processing characteristics of the different vendors. Linearity of IC at various thicknesses might be further exploited in clinical scenarios to differentiate between suspicious breast lesions.

Indexed as

Breast NeoplasmsContrast MediaImage Processing, Computer-AssistedMammographyPhantoms, ImagingRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedFemaleHumansRadiation DosageSignal-To-Noise RatioContrast Mediaaverage glandular doseCEMimage qualityquantification

Identifiers

PMID40657666
PMCPMC12257344

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