Evidence map›Paper›PMID 26629545›Full record

ArticleEBioMedicine2015

Grating-based X-ray Dark-field Computed Tomography of Living Mice.

A Velroyen, A Yaroshenko, D Hahn, A Fehringer, A Tapfer, M Müller, P B Noël, B Pauwels, A Sasov, A Ö Yildirim and 7 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
9.5field-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

28 citing papers in PubMed, 75 citations in OpenAlex.

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  9. Dark-field computed tomography reaches the human scale.Proceedings of the National Academy of Sciences of the United States of America · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 2 countries.

A VelroyenLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, Garching, Germany.
A YaroshenkoLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, Garching, Germany.
D HahnLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, Garching, Germany.
A FehringerLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, Garching, Germany.
A TapferLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, Garching, Germany.
M MüllerLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, Garching, Germany.
P B NoëlDepartment of Radiology, Technische Universität München, Munich, Germany.
B PauwelsBruker microCT, Kontich, Belgium.
A SasovBruker microCT, Kontich, Belgium.
A Ö YildirimComprehensive Pneumology Center, Institute of Lung Biology and Disease, Helmholtz Zentrum München and Ludwig-Maximilians-University Hospital Munich, Munich, Germany ; German Center for Lung Research (DZL), Germany.
O EickelbergComprehensive Pneumology Center, Institute of Lung Biology and Disease, Helmholtz Zentrum München and Ludwig-Maximilians-University Hospital Munich, Munich, Germany ; German Center for Lung Research (DZL), Germany.
K HellbachInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany.
S D AuweterInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany.
F G MeinelInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany.
M F ReiserInstitute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany ; German Center for Lung Research (DZL), Germany.
M BechLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, Garching, Germany ; Medical Radiation Physics, Lund University, Lund, Sweden.
F PfeifferLehrstuhl für Biomedizinische Physik, Physik-Department & Institut für Medizintechnik, Technische Universität München, Garching, Germany.
Technical University of Munich · DELudwig-Maximilians-Universität München · DEGerman Center for Lung Research · DELund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in x-ray attenuating tissue caused by lung disorders like emphysema or fibrosis are subtle and thus only resolved by high-resolution computed tomography (CT). The structural reorganization, however, is of strong influence for lung function. Dark-field CT (DFCT), based on small-angle scattering of x-rays, reveals such structural changes even at resolutions coarser than the pulmonary network and thus provides access to their anatomical distribution. In this proof-of-concept study we present x-ray in vivo DFCTs of lungs of a healthy, an emphysematous and a fibrotic mouse. The tomographies show excellent depiction of the distribution of structural - and thus indirectly functional - changes in lung parenchyma, on single-modality slices in dark field as well as on multimodal fusion images. Therefore, we anticipate numerous applications of DFCT in diagnostic lung imaging. We introduce a scatter-based Hounsfield Unit (sHU) scale to facilitate comparability of scans. In this newly defined sHU scale, the pathophysiological changes by emphysema and fibrosis cause a shift towards lower numbers, compared to healthy lung tissue.

Indexed as

AnimalsFemaleImage Processing, Computer-AssistedImaging, Three-DimensionalLung DiseasesMiceModels, AnimalTomography, X-Ray ComputedDark-field computed tomographyDark-field imagingPulmonary emphysemaPulmonary fibrosisX-ray phase-contrast imaging

Identifiers

PMID26629545
PMCPMC4634200
OpenAlexW1838870983

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.