Evidence map›Paper›PMID 35229244›Full record

ArticleEuropean radiology experimental2022

Dark-field chest x-ray imaging: first experience in patients with alpha1-antitrypsin deficiency.

Gregor S Zimmermann, Alexander A Fingerle, Bernhard Renger, Karl-Ludwig Laugwitz, Hubert Hautmann, Andreas Sauter, Felix Meurer, Florian Tilman Gassert, Jannis Bodden, Christina Müller-Leisse and 14 more

Open access · goldAbstract read
In one paragraph

Article in European radiology experimental, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
8.6field-weighted citation impact, top 3% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

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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

24 authors at 3 institutions in 1 country.

Gregor S ZimmermannDepartment of Medicine I, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany. gregor.zimmermann@tum.de.ORCID http://orcid.org/0000-0003-0353-2523
Alexander A FingerleDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Bernhard RengerDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Karl-Ludwig LaugwitzDepartment of Medicine I, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Hubert HautmannDepartment of Medicine I, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Andreas SauterDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Felix MeurerDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Florian Tilman GassertDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Jannis BoddenDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Christina Müller-LeisseDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Martin RenzDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Ernst J RummenyDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Marcus R MakowskiDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Konstantin WillerChair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technical University of Munich, Garching, Germany.
Wolfgang NoichlChair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technical University of Munich, Garching, Germany.
Fabio De MarcoChair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technical University of Munich, Garching, Germany.
Manuela FrankChair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technical University of Munich, Garching, Germany.
Theresa UrbanChair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technical University of Munich, Garching, Germany.
Rafael C SchickChair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technical University of Munich, Garching, Germany.
Julia HerzenChair of Biomedical Physics, Department of Physics & Munich School of BioEngineering, Technical University of Munich, Garching, Germany.
Thomas KoehlerInstitute of Medical Informatics, Statistics and Epidemiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Bernhard HallerPhilips Research, Hamburg, Germany.
Daniela PfeifferDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Franz PfeifferDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
TUM Klinikum · DETechnical University of Munich · DEPhilips (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpirometry and conventional chest x-ray have limitations in investigating early emphysema, while computed tomography, the reference imaging method in this context, is not part of routine patient care due to its higher radiation dose. In this work, we investigated a novel low-dose imaging modality, dark-field chest x-ray, for the evaluation of emphysema in patients with alpha1-antitrypsin deficiency.

methodsBy exploiting wave properties of x-rays for contrast formation, dark-field chest x-ray visualises the structural integrity of the alveoli, represented by a high signal over the lungs in the dark-field image. We investigated four patients with alpha1-antitrypsin deficiency with a novel dark-field x-ray prototype and simultaneous conventional chest x-ray. The extent of pulmonary function impairment was assessed by pulmonary function measurement and regional emphysema distribution was compared with CT in one patient.

resultsWe show that dark-field chest x-ray visualises the extent of pulmonary emphysema displaying severity and regional differences. Areas with low dark-field signal correlate with emphysematous changes detected by computed tomography using a threshold of -950 Hounsfield units. The airway parameters obtained by whole-body plethysmography and single breath diffusing capacity of the lungs for carbon monoxide demonstrated typical changes of advanced emphysema.

conclusionsDark-field chest x-ray directly visualised the severity and regional distribution of pulmonary emphysema compared to conventional chest x-ray in patients with alpha1-antitrypsin deficiency. Due to the ultra-low radiation dose in comparison to computed tomography, dark-field chest x-ray could be beneficial for long-term follow-up in these patients.

Indexed as

EmphysemaPulmonary EmphysemaHumansRadiographyTomography, X-Ray ComputedX-RaysAlpha1-antitrypsin deficiencyDark-field x-rayPulmonary emphysemaRadiography (thoracic)Tomography (x-ray computed)

Identifiers

PMID35229244
PMCPMC8885951
OpenAlexW4214740434

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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.