Evidence map›Paper›PMID 34611553›Full record

ArticlePhysics and imaging in radiation oncology2021

In-vivo X-ray dark-field computed tomography for the detection of radiation-induced lung damage in mice.

Rico Burkhardt, Thomas Gora, Alexander A Fingerle, Andreas P Sauter, Felix Meurer, Florian T Gassert, Sophie Dobiasch, Daniela Schilling, Annette Feuchtinger, Axel K Walch and 8 more

Open access · goldAbstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 18 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

18 authors at 3 institutions in 1 country.

Rico BurkhardtDepartment of Radiation Oncology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Thomas GoraDepartment of Radiation Oncology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Alexander A FingerleDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Andreas P SauterDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Felix MeurerDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Florian T GassertDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Sophie DobiaschDepartment of Radiation Oncology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Daniela SchillingDepartment of Radiation Oncology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Annette FeuchtingerAbteilung Analytische Pathologie, Helmholtz Zentrum München, Neuherberg, Germany.
Axel K WalchAbteilung Analytische Pathologie, Helmholtz Zentrum München, Neuherberg, Germany.
Gabriele MulthoffDepartment of Radiation Oncology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Julia HerzenPhysics Department, Technical University of Munich, Garching, Germany.
Peter B NoëlDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Ernst J RummenyDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Stephanie E CombsDepartment of Radiation Oncology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Thomas E SchmidDepartment of Radiation Oncology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Franz PfeifferPhysics Department, Technical University of Munich, Garching, Germany.
Jan J WilkensDepartment of Radiation Oncology, Technical University of Munich, School of Medicine and Klinikum rechts der Isar, Munich, Germany.
Technical University of Munich · DEKlinikum rechts der Isar · DEHelmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeRadiotherapy of thoracic tumours can lead to side effects in the lung, which may benefit from early diagnosis. We investigated the potential of X-ray dark-field computed tomography by a proof-of-principle murine study in a clinically relevant radiotherapeutic setting aiming at the detection of radiation-induced lung damage. MATERIAL AND

methodsSix mice were irradiated with 20 Gy to the entire right lung. Together with five unirradiated control mice, they were imaged using computed tomography with absorption and dark-field contrast before and 16 weeks post irradiation. Mean pixel values for the right and left lung were calculated for both contrasts, and the right-to-left-ratio R of these means was compared. Radiologists also assessed the tomograms acquired 16 weeks post irradiation. Sensitivity, specificity, inter- and intra-reader accuracy were evaluated.

resultsIn absorption contrast the group-average of R showed no increase in the control group and increased by 7% (p = 0.005) in the irradiated group. In dark-field contrast, it increased by 2% in the control group and by 14% (p = 0.005) in the irradiated group. Specificity was 100% for both contrasts but sensitivity was almost four times higher using dark-field tomography. Two cases were missed by absorption tomography but were detected by dark-field tomography.

conclusionsThe applicability of X-ray dark-field computed tomography for the detection of radiation-induced lung damage was demonstrated in a pre-clinical mouse model. The presented results illustrate the differences between dark-field and absorption contrast and show that dark-field tomography could be advantageous in future clinical settings.

Indexed as

CT scanPreclinical studyRadiation-induced lung damageX-ray dark-field

Identifiers

PMID34611553
PMCPMC8476771
OpenAlexW3204904341

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.