Evidence map›Paper›PMID 41144280›Full record

ArticleJournal of synchrotron radiation2025

In situ propagation-based lung computed tomography for large animal models.

Lorenzo D'Amico, Lucy Costello, Yakov Nesterets, Martin Donnelley, Timur Gureyev, Anton Maksimenko, Cathy Beck, Jannis Ahlers, Ronan Smith, Ying Ying How and 9 more

Abstract read
In one paragraph

Article in Journal of synchrotron radiation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Lorenzo D'AmicoElettra-Sincrotrone Trieste SCpA, Trieste, Italy.ORCID 0000-0003-0299-3440
Lucy CostelloSchool of Physics and Astronomy, Monash University, Clayton, Victoria, Australia.
Yakov NesteretsCommonwealth Scientific and Industrial Research Organisation (CSIRO), Clayton, Victoria, Australia.ORCID 0000-0002-0827-7261
Martin DonnelleyAdelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.
Timur GureyevSchool of Physics, The University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0002-1103-0649
Anton MaksimenkoAustralian Synchrotron, Australian National Science and Technology Organisation, Clayton, Australia.
Cathy BeckMelbourne Veterinary School, Faculty of Science University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0001-8357-2837
Jannis AhlersSchool of Physics and Astronomy, Monash University, Clayton, Victoria, Australia.ORCID 0000-0003-0630-1819
Ronan SmithAdelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.ORCID 0000-0002-5748-9295
Ying Ying HowSchool of Physics and Astronomy, Monash University, Clayton, Victoria, Australia.ORCID 0000-0001-8568-4736
David ParsonsAdelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.
Chris HallAustralian Synchrotron, Australian National Science and Technology Organisation, Clayton, Australia.
Daniel HausermannAustralian Synchrotron, Australian National Science and Technology Organisation, Clayton, Australia.
Matthew CameronAustralian Synchrotron, Australian National Science and Technology Organisation, Clayton, Australia.
Mitzi KleinAustralian Synchrotron, Australian National Science and Technology Organisation, Clayton, Australia.ORCID 0000-0002-7778-3002
Marcus KitchenSchool of Physics and Astronomy, Monash University, Clayton, Victoria, Australia.ORCID 0000-0002-0029-6660
Giuliana TrombaElettra-Sincrotrone Trieste SCpA, Trieste, Italy.
Christian DullinElettra-Sincrotrone Trieste SCpA, Trieste, Italy.ORCID 0000-0003-4297-8077
Kaye MorganSchool of Physics and Astronomy, Monash University, Clayton, Victoria, Australia.

Funding

Australian Nuclear Science and Technology Organisation 19603aNational Health and Medical Research Council APP2011204
6 · The paper itself

Abstract

The lung is a complex organ with a hierarchical structure, containing four times more air than tissue. It is in constant contact with environmental factors such as pollution and pathogens, leading to pathological alterations at various hierarchical levels. Because of its intricate structure and continuous movement, lung imaging presents significant challenges for most existing techniques. Recent advancements in phase-contrast computed tomography and photon-counting detectors have greatly enhanced lung imaging capabilities. Specifically, propagation-based imaging (PBI), a phase-contrast method that does not require optical elements, has proven particularly effective at low X-ray dose rates due to the strong phase shifts between lung tissue and aerated regions. This study introduces an in situ imaging approach for large-scale lungs using PBI at the Imaging and Medical Beamline (IMBL) of the Australian Synchrotron. We investigated optimal conditions for PBI, including energy and propagation distance settings, and found that an X-ray beam energy of 70 keV combined with a 7 m propagation distance yields the highest image quality in terms of contrast-to-noise ratio while also delivering the lowest radiation dose. Furthermore, Monte Carlo simulations were performed on the reconstructed volume to calculate absorbed radiation doses in tissues. These findings provide valuable insights for designing future experiments aimed at minimizing radiation exposure and potentially enable in vivo applications in larger animals or even humans.

Indexed as

LungTomography, X-Ray ComputedAnimalsMiceModels, AnimalMonte Carlo MethodPhantoms, ImagingRadiation DosageSynchrotronscomputed tomographyin situlung imagingpropagation-based phase contrastsynchrotron

Identifiers

PMID41144280
PMCPMC12591074

What OpenQuestion holds

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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.