Evidence map›Paper›PMID 40604224›Full record

ArticleScientific reports2025

Low-dose, high-resolution CT of infant-sized lungs via propagation-based phase contrast.

James A Pollock, Kaye Morgan, Linda C P Croton, Emily J Pryor, Kelly J Crossley, Christopher J Hall, Daniel Häusermann, Anton Maksimenko, Stuart B Hooper, Marcus J Kitchen

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. The Human Organ Atlas.Science advances · 2026
    Article
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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

10 authors.

James A PollockSchool of Physics and Astronomy, Monash University, Clayton, VIC, Australia. james.pollock@monash.edu.au.
Kaye MorganSchool of Physics and Astronomy, Monash University, Clayton, VIC, Australia.
Linda C P CrotonSchool of Physics and Astronomy, Monash University, Clayton, VIC, Australia.
Emily J PryorRitchie Centre, Hudson Institute of Medical Research, Clayton, VIC, Australia.
Kelly J CrossleyRitchie Centre, Hudson Institute of Medical Research, Clayton, VIC, Australia.
Christopher J HallANSTO, Based at the Imaging and Medical Beamline of the Australian Synchrotron, Clayton, VIC, Australia.
Daniel HäusermannANSTO, Based at the Imaging and Medical Beamline of the Australian Synchrotron, Clayton, VIC, Australia.
Anton MaksimenkoANSTO, Based at the Imaging and Medical Beamline of the Australian Synchrotron, Clayton, VIC, Australia.
Stuart B HooperRitchie Centre, Hudson Institute of Medical Research, Clayton, VIC, Australia.
Marcus J KitchenSchool of Physics and Astronomy, Monash University, Clayton, VIC, Australia.

Funding

Australian Research Council FT18010037National Health and Medical Research Council APP1058537
6 · The paper itself

Abstract

Many lung diseases require high-resolution imaging for accurate diagnosis and treatment. Computed tomography (CT) is the gold-standard technique for non-invasive lung disease detection, but it presents a risk to the patient through the relatively high ionising radiation dose required. Utilising the X-ray phase information has demonstrated improvements in image quality over absorption contrast in small animal models, at equal or lower radiation levels. Propagation-based phase-contrast imaging requires only a spatially coherent wavefield and some propagation between the sample and detector, making it well suited for medical applications. In particular, lung imaging significantly benefits from the strong phase gradients introduced by the lung-air material interfaces. Herein, propagation-based phase contrast CT is demonstrated stepping up to large animals, namely lambs, as a model for paediatric patients, using monochromatic radiation and a photon-counting detector. The resulting CT images demonstrate superior resolution to existing high-resolution CT systems, and push dose to the quantum limit to comply with current Australian guidelines for infant chest CT exposure of [Formula: see text] effective dose. Constituent raw projections are shown to have significant proportions of pixels with zero photon counts that would create severe information loss in conventional CT. Phase retrieval enabled clear visualisation of minor lung airways ([Formula: see text]) at doses up to 1225 ± 31% times lower than conventional CT reconstruction and a voxel size of just 75 [Formula: see text].

Indexed as

LungTomography, X-Ray ComputedAnimalsHumansInfantRadiation DosageSheepLungsPhase contrast CTX-ray computed tomography

Identifiers

PMID40604224
PMCPMC12222475

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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.