Evidence map›Paper›PMID 42720851›Full record

ArticleEuropean radiology experimental2026

Assessment of emphysema with simulated low-dose dark-field radiography.

Henriette Bast, Rafael C Schick, Thomas Koehler, Florian T Gassert, Alexander W Marka, Andreas P Sauter, Bernhard Renger, Gregor Zimmermann, Marcus R Makowski, Franz Pfeiffer and 1 more

Abstract read
In one paragraph

Article in European radiology experimental, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Henriette Bast *Chair of Biomedical Physics, Department of Physics, TUM School of Natural Sciences, Technical University of Munich, Garching, Germany. henriette.bast@tum.de.ORCID http://orcid.org/0009-0001-7390-1809
Rafael C Schick *Chair of Biomedical Physics, Department of Physics, TUM School of Natural Sciences, Technical University of Munich, Garching, Germany.
Thomas KoehlerPhilips Innovative Technologies, Hamburg, Germany.
Florian T GassertInstitute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany.
Alexander W MarkaInstitute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany.
Andreas P SauterInstitute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany.
Bernhard RengerInstitute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany.
Gregor ZimmermannDivision of Respiratory Medicine, Department of Internal Medicine I, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany.
Marcus R MakowskiInstitute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany.
Franz PfeifferChair of Biomedical Physics, Department of Physics, TUM School of Natural Sciences, Technical University of Munich, Garching, Germany.
Daniela PfeifferInstitute for Diagnostic and Interventional Radiology, School of Medicine and Health, TUM Klinikum, Technical University of Munich (TUM), Munich, Germany.

Funding

European Research Council ERC Synergy Grant SmartX, SyG 101167328
6 · The paper itself

Abstract

objectiveDark-field radiography allows the visualization of lung tissue changes associated with pulmonary emphysema. Simulations were used to investigate the impact of radiation dose reduction on the diagnostic accuracy of emphysema detection. MATERIALS AND

methodsDark-field and attenuation chest radiographs acquired during an ongoing clinical study were used to simulate multiple low-dose counterparts corresponding to median effective doses between 7 and 18 µSv. All study participants had undergone a medically indicated chest computed tomography scan that showed either pulmonary emphysema or no lung pathologies. In a randomized reader study, three radiologists independently assessed the simulated low-dose dark-field and attenuation radiographs as well as the original images for the presence of emphysema. The area under the curves (AUC) of the receiver operating characteristics (ROC) were analyzed using Obuchowski's method. ROC curves were also generated by using different values of the dark-field coefficient to differentiate between absent and at least mild emphysema.

resultsThe original (full-dose) images and simulated low-dose images of 93 participants (57 males, 36 females) were included, with participants' median age of 66 years (interquartile range 54 to 73 years). The radiologists' ROC curves of the simulated low-dose images at 11 µSv (AUC = 0.84) did not differ significantly (p = 0.177) from the full-dose curve (AUC = 0.86). For all dose levels, the dark-field coefficient could distinguish between absent and at least mild emphysema with an AUC of 0.85.

conclusionRadiation dose reduction in dark-field imaging for emphysema assessment might be feasible, with median effective doses potentially as low as 11 µSv. KEY POINTS: Question How does radiation dose reduction affect the diagnostic potential of dark-field chest radiographs? Findings For actual, regular-dose (36 µSv) dark-field radiographs, AUC was 0.86, and 0.84 for simulated low-dose images. Down to 7 µSv, the dark-field coefficient AUC was 0.85. Relevance statement Simulations suggest that the radiation dose in dark-field chest imaging could be lowered to 11 µSv, indicating the technique's potential for ultra-low-dose imaging, which could be especially beneficial for potential clinical screening applications in the future.

Indexed as

Pulmonary EmphysemaRadiation DosageRadiography, ThoracicTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedROC CurvePulmonary emphysemaRadiation dosageRadiographyx-ray

Identifiers

PMID42720851
PMCPMC13562466

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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.