Evidence map›Paper›PMID 33116193›Full record

ArticleScientific reports2020

A proof-of principal study using phase-contrast imaging for the detection of large airway pathologies after lung transplantation.

Stephan Umkehrer, Carmela Morrone, Julien Dinkel, Laura Aigner, Maximilian F Reiser, Julia Herzen, Ali Ö Yildirim, Franz Pfeiffer, Katharina Hellbach

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 58% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 5 institutions in 1 country.

Stephan UmkehrerChair of Biomedical Physics, Physics Department & Munich School of BioEngineering, Technical University of Munich (TUM), Garching, Germany. stephan.umkehrer@ph.tum.de.
Carmela MorroneMember of the German Center for Lung Research (DZL), Comprehensive Pneumology Center Munich (CPC-M), Ludwig-Maximilians University Munich, Munich, Germany.
Julien DinkelDepartment of Radiology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.
Laura AignerDepartment of Radiology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.
Maximilian F ReiserDepartment of Radiology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.
Julia HerzenChair of Biomedical Physics, Physics Department & Munich School of BioEngineering, Technical University of Munich (TUM), Garching, Germany.
Ali Ö YildirimMember of the German Center for Lung Research (DZL), Comprehensive Pneumology Center Munich (CPC-M), Ludwig-Maximilians University Munich, Munich, Germany.
Franz PfeifferChair of Biomedical Physics, Physics Department & Munich School of BioEngineering, Technical University of Munich (TUM), Garching, Germany.
Katharina HellbachDepartment of Radiology, University Hospital, Ludwig-Maximilians University Munich, Munich, Germany.
German Center for Lung Research · DEHelmholtz Zentrum München · DELudwig-Maximilians-Universität München · DETechnical University of Munich · DEKlinikum rechts der Isar · DE

Funding

European Research Council AdG 695045
6 · The paper itself

Abstract

In this study we aim to evaluate the assessment of bronchial pathologies in a murine model of lung transplantation with grating-based X-ray interferometry in vivo. Imaging was performed using a dedicated grating-based small-animal X-ray dark-field and phase-contrast scanner. While the contrast modality of the dark-field signal already showed several promising applications for diagnosing various types of pulmonary diseases, the phase-shifting contrast mechanism of the phase contrast has not yet been evaluated in vivo. For this purpose, qualitative analysis of phase-contrast images was performed and revealed pathologies due to previous lung transplantation, such as unilateral bronchial stenosis or bronchial truncation. Dependent lung parenchyma showed a strong loss in dark-field and absorption signal intensity, possibly caused by several post transplantational pathologies such as atelectasis, pleural effusion, or pulmonary infiltrates. With this study, we are able to show that bronchial pathologies can be visualized in vivo using conventional X-ray imaging when phase-contrast information is analysed. Absorption and dark-field images can be used to quantify the severity of lack of ventilation in the affected lung.

Indexed as

Lung TransplantationTomography, X-Ray ComputedAnimalsInterferometryLungMaleMiceProof of Concept StudyX-Rays

Identifiers

PMID33116193
PMCPMC7595203
OpenAlexW3097948023

What OpenQuestion holds

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Registered trials

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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.