Evidence map›Paper›PMID 36411311›Full record

ArticleCommunications medicine2022

Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia.

Manuela Frank, Florian T Gassert, Theresa Urban, Konstantin Willer, Wolfgang Noichl, Rafael Schick, Manuel Schultheiss, Manuel Viermetz, Bernhard Gleich, Fabio De Marco and 11 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

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  12. Edge-illumination spectral phase-contrast tomography.Physics in medicine and biology · 2024
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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

21 authors at 4 institutions in 1 country.

Manuela Frank *Chair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany. manuela.frank@tum.de.ORCID http://orcid.org/0000-0001-5642-0694
Florian T Gassert *Department of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, München, Germany.ORCID http://orcid.org/0000-0003-4126-462X
Theresa UrbanChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.
Konstantin WillerChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.
Wolfgang NoichlChair 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.
Manuel SchultheissChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.ORCID http://orcid.org/0000-0002-4261-5420
Manuel ViermetzChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.ORCID http://orcid.org/0000-0002-7332-1900
Bernhard GleichMunich Institute of Biomedical Engineering, Technical University of Munich, 85748, Garching, Germany.
Fabio De MarcoChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.
Julia HerzenChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.ORCID http://orcid.org/0000-0002-9456-1591
Thomas KoehlerPhilips Research, Hamburg, Germany.ORCID http://orcid.org/0000-0002-1986-0057
Klaus Jürgen EngelPhilips Research, Hamburg, Germany.
Bernhard RengerDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, München, Germany.
Felix G GassertDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, München, Germany.
Andreas SauterDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, München, Germany.ORCID http://orcid.org/0000-0003-4394-862X
Alexander A FingerleDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, München, Germany.
Bernhard HallerInstitute of AI and Informatics in Medicine, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, München, Germany.ORCID http://orcid.org/0000-0002-9723-393X
Marcus R MakowskiDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, München, Germany.ORCID http://orcid.org/0000-0001-8778-647X
Daniela PfeifferDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, München, Germany.
Franz PfeifferChair of Biomedical Physics, Department of Physics, School of Natural Sciences, Technical University of Munich, 85748, Garching, Germany.ORCID http://orcid.org/0000-0001-6665-4363
TUM Klinikum · DETechnical University of Munich · DEInstitute for Advanced Study · DEPhilips (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, alternative medical imaging methods for the assessment of pulmonary involvement in patients infected with COVID-19 are sought that combine a higher sensitivity than conventional (attenuation-based) chest radiography with a lower radiation dose than CT imaging.

methodsSixty patients with COVID-19-associated lung changes in a CT scan and 40 subjects without pathologic lung changes visible in the CT scan were included (in total, 100, 59 male, mean age 58 ± 14 years). All patients gave written informed consent. We employed a clinical setup for grating-based dark-field chest radiography, obtaining both a dark-field and a conventional attenuation image in one image acquisition. Attenuation images alone, dark-field images alone, and both displayed simultaneously were assessed for the presence of COVID-19-associated lung changes on a scale from 1 to 6 (1 = surely not, 6 = surely) by four blinded radiologists. Statistical analysis was performed by evaluation of the area under the receiver-operator-characteristics curves (AUC) using Obuchowski's method with a 0.05 level of significance.

resultsWe show that dark-field imaging has a higher sensitivity for COVID-19-pneumonia than attenuation-based imaging and that the combination of both is superior to one imaging modality alone. Furthermore, a quantitative image analysis shows a significant reduction of dark-field signals for COVID-19-patients.

conclusionsDark-field imaging complements and improves conventional radiography for the visualisation and detection of COVID-19-pneumonia.

Identifiers

PMID36411311
PMCPMC9678896
OpenAlexW4309496796

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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.