Evidence map›Paper›PMID 31292790›Full record

ArticleEuropean radiology experimental2019

Imaging features in post-mortem x-ray dark-field chest radiographs and correlation with conventional x-ray and CT.

Alexander A Fingerle, Fabio De Marco, Jana Andrejewski, Konstantin Willer, Lukas B Gromann, Wolfgang Noichl, Fabian Kriner, Florian Fischer, Christian Braun, Hanns-Ingo Maack and 11 more

Abstract readComparative Study
In one paragraph

Article in European radiology experimental, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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.

Alexander A FingerleDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany. alexander.fingerle@tum.de.ORCID 0000-0002-6602-1360
Fabio De MarcoChair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.
Jana AndrejewskiChair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.
Konstantin WillerChair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.
Lukas B GromannChair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.
Wolfgang NoichlChair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.
Fabian KrinerInstitute of Forensic Medicine, Ludwig-Maximilians-University Munich, 80336, Munich, Germany.
Florian FischerInstitute of Forensic Medicine, Ludwig-Maximilians-University Munich, 80336, Munich, Germany.
Christian BraunInstitute of Forensic Medicine, Ludwig-Maximilians-University Munich, 80336, Munich, Germany.
Hanns-Ingo MaackPhilips Medical Systems DMC GmbH, 22335, Hamburg, Germany.
Thomas PralowPhilips Medical Systems DMC GmbH, 22335, Hamburg, Germany.
Thomas KoehlerPhilips GmbH Innovative Technologies, Research Laboratories, 22335, Hamburg, Germany.
Peter B NoëlDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Felix MeurerDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Dominik DeniffelDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Andreas P SauterDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Bernhard HallerInstitute of Medical Informatics, Statistics and Epidemiology, 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.
Ernst J RummenyDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.
Julia HerzenChair of Biomedical Physics, Department of Physics and Munich School of BioEngineering, Technical University of Munich, 85748, Garching, Germany.
Franz PfeifferDepartment of Diagnostic and Interventional Radiology, School of Medicine & Klinikum rechts der Isar, Technical University of Munich, 81675, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough x-ray dark-field imaging has been intensively investigated for lung imaging in different animal models, there is very limited data about imaging features in the human lungs. Therefore, in this work, a reader study on nine post-mortem human chest x-ray dark-field radiographs was performed to evaluate dark-field signal strength in the lungs, intraobserver and interobserver agreement, and image quality and to correlate with findings of conventional x-ray and CT.

methodsIn this prospective work, chest x-ray dark-field radiography with a tube voltage of 70 kVp was performed post-mortem on nine humans (3 females, 6 males, age range 52-88 years). Visual quantification of dark-field and transmission signals in the lungs was performed by three radiologists. Results were compared to findings on conventional x-rays and 256-slice computed tomography. Image quality was evaluated. For ordinal data, median, range, and dot plots with medians and 95% confidence intervals are presented; intraobserver and interobserver agreement were determined using weighted Cohen κ.

resultsDark-field signal grading showed significant differences between upper and middle (p = 0.004-0.016, readers 1-3) as well as upper and lower zones (p = 0.004-0.016, readers 1-2). Median transmission grading was indifferent between all lung regions. Intraobserver and interobserver agreements were substantial to almost perfect for grading of both dark-field (κ = 0.793-0.971 and κ = 0.828-0.893) and transmission images (κ = 0.790-0.918 and κ = 0.700-0.772). Pulmonary infiltrates correlated with areas of reduced dark-field signal. Image quality was rated good for dark-field images.

conclusionsChest x-ray dark-field images provide information of the lungs complementary to conventional x-ray and allow reliable visual quantification of dark-field signal strength.

Indexed as

Tomography, X-Ray ComputedAgedAged, 80 and overCorrelation of DataDiagnosisFemaleHumansLungMaleMiddle AgedRadiographyRadiography, ThoracicLungObserver variationRadiography (thoracic)Tomography (x-ray computed)X-ray dark-field imaging

Identifiers

PMID31292790
PMCPMC6620231

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.