Evidence map›Paper›PMID 29422512›Full record

ArticleScientific reports2018

Depiction of pneumothoraces in a large animal model using x-ray dark-field radiography.

Katharina Hellbach, Andrea Baehr, Fabio De Marco, Konstantin Willer, Lukas B Gromann, Julia Herzen, Michaela Dmochewitz, Sigrid Auweter, Alexander A Fingerle, Peter B Noël and 15 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 42 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

25 authors at 6 institutions in 1 country.

Katharina HellbachDepartment of Radiology, University Hospital, LMU Munich, 81377, Munich, Germany. katharina.hellbach@med.uni-muenchen.de.
Andrea BaehrChair for Molecular Animal Breeding and Biotechnology, Ludwig-Maximilians-University Munich, Munich, 85764, Oberschleißheim, Germany.
Fabio De MarcoChair of Biomedical Physics & Munich School of BioEngineering, Technical University of Munich, Munich, 85748, Garching, Germany.ORCID 0000-0002-3561-7305
Konstantin WillerChair of Biomedical Physics & Munich School of BioEngineering, Technical University of Munich, Munich, 85748, Garching, Germany.
Lukas B GromannChair of Biomedical Physics & Munich School of BioEngineering, Technical University of Munich, Munich, 85748, Garching, Germany.ORCID 0000-0003-1097-9323
Julia HerzenChair of Biomedical Physics & Munich School of BioEngineering, Technical University of Munich, Munich, 85748, Garching, Germany.ORCID 0000-0002-9456-1591
Michaela DmochewitzChair for Molecular Animal Breeding and Biotechnology, Ludwig-Maximilians-University Munich, Munich, 85764, Oberschleißheim, Germany.
Sigrid AuweterDepartment of Radiology, University Hospital, LMU Munich, 81377, Munich, Germany.
Alexander A FingerleDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, 81675, Munich, Germany.
Peter B NoëlChair of Biomedical Physics & Munich School of BioEngineering, Technical University of Munich, Munich, 85748, Garching, Germany.
Ernst J RummenyDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, 81675, Munich, Germany.
Andre YaroshenkoPhilips Medical Systems DMC GmbH, 22335, Hamburg, Germany.
Hanns-Ingo MaackPhilips Medical Systems DMC GmbH, 22335, Hamburg, Germany.
Thomas PralowPhilips Medical Systems DMC GmbH, 22335, Hamburg, Germany.
Hendrik van der HeijdenPhilips Medical Systems DMC GmbH, 22335, Hamburg, Germany.
Nataly WieberneitPhilips Medical Systems DMC GmbH, 22335, Hamburg, Germany.
Roland ProksaPhilips GmbH Innovative Technologies, Research Laboratories, 22335, Hamburg, Germany.
Thomas KoehlerPhilips GmbH Innovative Technologies, Research Laboratories, 22335, Hamburg, Germany.
Karsten RindtPhilips Medical Systems DMC GmbH, 22335, Hamburg, Germany.
Tobias J SchroeterInstitute of Microstructure Technology, Karlsruhe Institute of Technology (KIT), 76344, Eggenstein-Leopoldshafen, Germany.ORCID 0000-0002-4991-4933
Juergen MohrInstitute of Microstructure Technology, Karlsruhe Institute of Technology (KIT), 76344, Eggenstein-Leopoldshafen, Germany.
Fabian BambergDepartment of Radiology, University Hospital, LMU Munich, 81377, Munich, Germany.
Birgit Ertl-WagnerDepartment of Radiology, University Hospital, LMU Munich, 81377, Munich, Germany.
Franz PfeifferChair of Biomedical Physics & Munich School of BioEngineering, Technical University of Munich, Munich, 85748, Garching, Germany.
Maximilian F ReiserDepartment of Radiology, University Hospital, LMU Munich, 81377, Munich, Germany.
Philips (Germany) · DETechnical University of Munich · DELMU Klinikum · DEInstitute for Advanced Study · DEKarlsruhe Institute of Technology · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to assess the diagnostic value of x-ray dark-field radiography to detect pneumothoraces in a pig model. Eight pigs were imaged with an experimental grating-based large-animal dark-field scanner before and after induction of a unilateral pneumothorax. Image contrast-to-noise ratios between lung tissue and the air-filled pleural cavity were quantified for transmission and dark-field radiograms. The projected area in the object plane of the inflated lung was measured in dark-field images to quantify the collapse of lung parenchyma due to a pneumothorax. Means and standard deviations for lung sizes and signal intensities from dark-field and transmission images were tested for statistical significance using Student's two-tailed t-test for paired samples. The contrast-to-noise ratio between the air-filled pleural space of lateral pneumothoraces and lung tissue was significantly higher in the dark-field (3.65 ± 0.9) than in the transmission images (1.13 ± 1.1; p = 0.002). In case of dorsally located pneumothoraces, a significant decrease (-20.5%; p > 0.0001) in the projected area of inflated lung parenchyma was found after a pneumothorax was induced. Therefore, the detection of pneumothoraces in x-ray dark-field radiography was facilitated compared to transmission imaging in a large animal model.

Indexed as

AnimalsDisease Models, AnimalLungPneumothoraxRadiographySwineX-Rays

Identifiers

PMID29422512
PMCPMC5805747
OpenAlexW2790429855

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.