Evidence map›Paper›PMID 36474057›Full record

ArticleEuropean radiology2023

Background enhancement in contrast-enhanced spectral mammography (CESM): are there qualitative and quantitative differences between imaging systems?

Daniel Wessling, Simon Männlin, Ricarda Schwarz, Florian Hagen, Andreas Brendlin, Susann-Cathrin Olthof, Valerie Hattermann, Sebastian Gassenmaier, Judith Herrmann, Heike Preibsch

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Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  8. Contrast-enhanced mammography in high-dense breasts: a narrative review.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
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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

10 authors.

Daniel WesslingDepartment of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany. Daniel.wessling@med.uni-tuebingen.de.
Simon MännlinDepartment of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
Ricarda SchwarzDepartment of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
Florian HagenDepartment of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
Andreas BrendlinDepartment of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
Susann-Cathrin OlthofDepartment of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
Valerie HattermannDepartment of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
Sebastian GassenmaierDepartment of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
Judith HerrmannDepartment of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
Heike PreibschDepartment of Diagnostic and Interventional Radiology, University Hospital of Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the impact of the digital mammography imaging system on overall background enhancement on recombined contrast-enhanced spectral mammography (CESM) images, the overall background enhancement of two different mammography systems was compared.

methodsIn a retrospective single-center study, CESM images of n = 129 female patients who underwent CESM between 2016 and 2019 were analyzed independently by two radiologists. Two mammography machines of different manufacturers were compared qualitatively using a Likert-scale from 1 (minimal) to 4 (marked overall background enhancement) and quantitatively by placing a region of interest and measuring the intensity enhancement. Lesion conspicuity was analyzed using a Likert-scale from 1 (lesion not reliably distinguishable) to 5 (excellent lesion conspicuity). A multivariate regression was performed to test for potential biases on the quantitative results.

resultsSignificant differences in qualitative background enhancement measurements between machines A and B were observed for both readers (p = 0.003 and p < 0.001). The quantitative evaluation showed significant differences in background enhancement with an average difference of 75.69 (99%-CI [74.37, 77.02]; p < 0.001). Lesion conspicuity was better for machine A for the first and second reader respectively (p = 0.009 and p < 0.001). The factor machine was the only influencing factor (p < 0.001). The factors contrast agent, breast density, age, and menstrual cycle could be excluded as potential biases.

conclusionMammography machines seem to significantly influence overall background enhancement qualitatively and quantitatively; thus, an impact on diagnostic accuracy appears possible. KEY POINTS: • Overall background enhancement on CESM differs between different vendors qualitatively and quantitatively. • Our retrospective single-center study showed consistent results of the qualitative and quantitative data analysis of overall background enhancement. • Lesion conspicuity is higher in cases of lower background enhancement on CESM.

Indexed as

Breast NeoplasmsMammographyBreast DensityContrast MediaFemaleHumansResearch DesignRetrospective StudiesSensitivity and SpecificityContrast MediaBreast densityDigital mammographyFemaleMammographyMenstrual cycle

Identifiers

PMID36474057
PMCPMC10017655

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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.