Evidence map›Paper›PMID 36959233›Full record

ArticleScientific reports2023

High resolution propagation-based lung imaging at clinically relevant X-ray dose levels.

Jonas Albers, Willi L Wagner, Mascha O Fiedler, Anne Rothermel, Felix Wünnemann, Francesca Di Lillo, Diego Dreossi, Nicola Sodini, Elisa Baratella, Marco Confalonieri and 9 more

Open access · goldFull text read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. 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

19 authors at 9 institutions in 3 countries.

Jonas AlbersDepartment for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany.
Willi L WagnerDiagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Mascha O FiedlerTranslational Lung Research Center (TLRC), German Center for Lung Research (DZL), University Heidelberg, Heidelberg, Germany.
Anne RothermelDiagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Felix WünnemannDiagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Francesca Di LilloElettra-Sincrotrone Trieste S.C.p.A., Trieste, Italy.
Diego DreossiElettra-Sincrotrone Trieste S.C.p.A., Trieste, Italy.
Nicola SodiniElettra-Sincrotrone Trieste S.C.p.A., Trieste, Italy.
Elisa BaratellaDepartment of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy.
Marco ConfalonieriPulmonary Unit, University Hospital of Cattinara, Trieste, Italy.
Fulvia ArfelliDepartment of Physics, University of Trieste and INFN, Trieste, Italy.
Armin KalenkaTranslational Lung Research Center (TLRC), German Center for Lung Research (DZL), University Heidelberg, Heidelberg, Germany.
Joachim LotzDepartment for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany.
Jürgen BiedererDiagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Mark O WielpützDiagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Hans-Ulrich KauczorDiagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Frauke AlvesDepartment for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany.
Giuliana TrombaElettra-Sincrotrone Trieste S.C.p.A., Trieste, Italy.
Christian DullinDepartment for Diagnostic and Interventional Radiology, University Medical Center Goettingen, Goettingen, Germany. christian.dullin@protonmail.com.
Elettra-Sincrotrone Trieste S.C.p.A. · ITGerman Center for Lung Research · DEHeidelberg University · DEUniversity of Trieste · ITEuropean Molecular Biology Laboratory · DEInfectoPharm (Germany) · DENephrologisches Zentrum Goettingen · DEOspedale di Cattinara · ITUniversity of Latvia · LV

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Absorption-based clinical computed tomography (CT) is the current imaging method of choice in the diagnosis of lung diseases. Many pulmonary diseases are affecting microscopic structures of the lung, such as terminal bronchi, alveolar spaces, sublobular blood vessels or the pulmonary interstitial tissue. As spatial resolution in CT is limited by the clinically acceptable applied X-ray dose, a comprehensive diagnosis of conditions such as interstitial lung disease, idiopathic pulmonary fibrosis or the characterization of small pulmonary nodules is limited and may require additional validation by invasive lung biopsies. Propagation-based imaging (PBI) is a phase sensitive X-ray imaging technique capable of reaching high spatial resolutions at relatively low applied radiation dose levels. In this publication, we present technical refinements of PBI for the characterization of different artificial lung pathologies, mimicking clinically relevant patterns in ventilated fresh porcine lungs in a human-scale chest phantom. The combination of a very large propagation distance of 10.7 m and a photon counting detector with [Formula: see text] pixel size enabled high resolution PBI CT with significantly improved dose efficiency, measured by thermoluminescence detectors. Image quality was directly compared with state-of-the-art clinical CT. PBI with increased propagation distance was found to provide improved image quality at the same or even lower X-ray dose levels than clinical CT. By combining PBI with iodine k-edge subtraction imaging we further demonstrate that, the high quality of the calculated iodine concentration maps might be a potential tool for the analysis of lung perfusion in great detail. Our results indicate PBI to be of great value for accurate diagnosis of lung disease in patients as it allows to depict pathological lesions non-invasively at high resolution in 3D. This will especially benefit patients at high risk of complications from invasive lung biopsies such as in the setting of suspected idiopathic pulmonary fibrosis (IPF).

Indexed as

Idiopathic Pulmonary FibrosisLung Diseases, InterstitialAnimalsHumansLungPhantoms, ImagingSwineTomography, X-Ray ComputedX-Rays

Identifiers

PMID36959233
PMCPMC10036329
OpenAlexW4360611720

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read34
table measurements read4
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.