Evidence map›Paper›PMID 40146395›Full record

ArticleEuropean radiology experimental2025

Dark-field chest radiography signal characteristics in inspiration and expiration in healthy and emphysematous subjects.

Theresa Urban, Florian T Gassert, Manuela Frank, Rafael Schick, Henriette Bast, Jannis Bodden, Alexander W Marka, Lisa Steinhelfer, Manuel Steinhardt, Andreas Sauter and 6 more

Abstract read
In one paragraph

Article in European radiology experimental, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

16 authors.

Theresa Urban *Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany. theresa.urban@tum.de.ORCID http://orcid.org/0000-0002-0352-8180
Florian T Gassert *Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Manuela FrankChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.
Rafael SchickChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.
Henriette BastChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.
Jannis BoddenDepartment of Neuroradiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Alexander W MarkaDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Lisa SteinhelferDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Manuel SteinhardtDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Andreas SauterDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Alexander FingerleDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Gregor S ZimmermannDivision of Respiratory Medicine, Department of Internal Medicine I, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Thomas KoehlerPhilips Innovative Technologies, 22335, Hamburg, Germany.
Marcus R MakowskiDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Daniela PfeifferDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Franz PfeifferChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDark-field chest radiography is sensitive to the lung alveolar structure. We evaluated the change of dark-field signal between inspiration and expiration.

methodsFrom 2018 to 2020, patients who underwent chest computed tomography (CT) were prospectively enrolled, excluding those with any lung condition besides emphysema visible on CT. Participants were imaged in both inspiration and expiration with a prototype dark-field chest radiography system. We calculated the total dark-field signal ∑DF and the dark-field coefficient ϵ, assumed to be proportional to the total number of alveoli and the alveolar density, respectively.

resultsEighty-eight subjects, aged 64 years ± 11 (mean ± standard deviation), 55 males, were enrolled. Dark-field signal in the lung projection appeared higher in expiration compared to inspiration. Over all participants, ∑DF was higher in inspiration (1.6 × 10

conclusionThe dark-field signal depends on the breathing state. Differences between breathing states are influenced by emphysema severity. RELEVANCE STATEMENT: The patient's breathing state influences the dark-field chest radiograph, potentially impacting its diagnostic value. KEY POINTS: Signal characteristics in dark-field chest radiography change between inspiration and expiration. The total dark-field signal decreases slightly from inspiration to expiration, while the dark-field coefficient increases substantially. The ratio of the total dark-field signal between expiration and inspiration is independent of emphysema severity, whereas the ratio of the dark-field coefficient depends on emphysema severity.

Indexed as

ExhalationInhalationPulmonary EmphysemaRadiography, ThoracicTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedProspective StudiesEmphysemaLungRadiography (thoracic)Respiration

Identifiers

PMID40146395
PMCPMC11950489

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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.