Evidence map›Paper›PMID 28341830›Full record

ArticleScientific reports2017

X-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice.

Kai Scherer, Andre Yaroshenko, Deniz Ali Bölükbas, Lukas B Gromann, Katharina Hellbach, Felix G Meinel, Margarita Braunagel, Jens von Berg, Oliver Eickelberg, Maximilian F Reiser and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
12.9field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 86 citations in OpenAlex.

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  4. Advanced X-Ray Imaging Technology.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
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  9. Laboratory-based x-ray dark-field microscopy.Physical review applied · 2023
    Article
  10. Article
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  12. Article
  13. Dark-field computed tomography reaches the human scale.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. High-resolution multicontrast tomography with an X-ray microarray anode-structured target source.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Article
  19. Review
  20. 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

13 authors at 4 institutions in 1 country.

Kai SchererLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, 85748, Garching, Germany. kai.scherer@tum.de.
Andre YaroshenkoLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, 85748, Garching, Germany.
Deniz Ali BölükbasComprehensive Pneumology Center (CPC), University Hospital, Ludwig-Maximilians University, Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), 81377 Munich, Germany.
Lukas B GromannLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, 85748, Garching, Germany.ORCID 0000-0003-1097-9323
Katharina HellbachInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, 81377, Munich, Germany.
Felix G MeinelInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, 81377, Munich, Germany.ORCID 0000-0002-3201-1033
Margarita BraunagelInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, 81377, Munich, Germany.
Jens von BergPhilips Research Laboratories, Philips Medical Systems, 22335, Hamburg, Germany.
Oliver EickelbergComprehensive Pneumology Center (CPC), University Hospital, Ludwig-Maximilians University, Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), 81377 Munich, Germany.
Maximilian F ReiserInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, 81377, Munich, Germany.
Franz PfeifferLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, 85748, Garching, Germany.
Silke MeinersComprehensive Pneumology Center (CPC), University Hospital, Ludwig-Maximilians University, Helmholtz Zentrum München, Member of the German Center for Lung Research (DZL), 81377 Munich, Germany.
Julia HerzenLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, 85748, Garching, Germany.
Ludwig-Maximilians-Universität München · DETechnical University of Munich · DEHelmholtz Zentrum München · DEPhilips (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accounting for about 1.5 million deaths annually, lung cancer is the prevailing cause of cancer deaths worldwide, mostly associated with long-term smoking effects. Numerous small-animal studies are performed currently in order to better understand the pathogenesis of the disease and to develop treatment strategies. Within this letter, we propose to exploit X-ray dark-field imaging as a novel diagnostic tool for the detection of lung cancer on projection radiographs. Here, we demonstrate in living mice bearing lung tumors, that X-ray dark-field radiography provides significantly improved lung tumor detection rates without increasing the number of false-positives, especially in the case of small and superimposed nodules, when compared to conventional absorption-based imaging. While this method still needs to be adapted to larger mammals and finally humans, the technique presented here can already serve as a valuable tool in evaluating novel lung cancer therapies, tested in mice and other small animal models.

Indexed as

AnimalsDisease Models, AnimalLungLung NeoplasmsMiceMice, Mutant StrainsRadiographyX-Rays

Identifiers

PMID28341830
PMCPMC5428469
OpenAlexW2601024029

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.