Evidence map›Paper›PMID 40657686›Full record

ArticleJournal of applied clinical medical physics2025

Utilization of spectral filteration for ultra-low dose brain CT in pediatric patients for diagnosis of craniosynostosis: A phantom study.

Connor Braniff, Michael Ditchfield, Manuel Gubser, Ahilan Kuganesan, M K Badawy

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 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

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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

5 authors.

Connor BraniffRoyal Melbourne Institute of Technology, Melbourne, Victoria, Australia.ORCID https://orcid.org/0009-0005-4502-4588
Michael DitchfieldMonash Health Imaging, Monash Health, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0003-1707-3671
Manuel GubserDivision of Radiology and Nuclear Medicine, St. Gallen Cantonal Hospital, St. Gallen, Switzerland.ORCID https://orcid.org/0009-0004-7399-0444
Ahilan KuganesanMonash Health Imaging, Monash Health, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0001-9117-0897
M K BadawyMonash Health Imaging, Monash Health, Clayton, Victoria, Australia.ORCID https://orcid.org/0000-0001-8029-9951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study evaluates the effectiveness of spectral filtration-specifically Tin and SilverBeam filters-in achieving ultra-low radiation doses in pediatric computed tomography (CT) imaging for craniosynostosis diagnosis. We investigate whether these filters can reduce radiation to levels comparable to or below those of standard four-view skull x-rays, while maintaining diagnostic accuracy. Unlike previous research focused broadly on dose reduction, this study highlights the potential of Tin and SilverBeam filtration as a promising solution.

methodsCT images were acquired using a pediatric head fracture phantom, with sutures simulating craniosynostosis, on two scanners with different spectral filters. The CTDIvol was reduced by varying percentages from standard pediatric protocols using Tin and SilverBeam filters. Image quality and radiation dose were quantitatively assessed, while two radiologists performed qualitative evaluations.

resultsDose comparisons showed that images with at least a 89.2% reduction in CTDIvol using the Tin filter and a 91.4% reduction when using the SilverBeam filter resulted in lower doses than a standard four-view skull x-ray (0.09 mSv). The greatest dose reduction (up to 161%) occurred with SilverBeam at a 99.9% reduction in CTDIvol. While significant pixel intensity changes were observed at the sutures, spatial resolution decreased at lower dose settings. Two pediatric radiologists observed clear skull and orbit outlines under clinical conditions, but coronal sutures became undetectable near 90% CTDIvol reduction.

conclusionSpectral filtration ultra-low-dose CT significantly reduces radiation exposure compared to four-view skull x-rays, showing promise for diagnosing craniosynostosis. Further patient-based studies are needed to validate diagnostic efficacy. ADVANCES IN KNOWLEDGE: This study is the first to assess spectral filtration in ultra-low-dose pediatric head CT, highlighting significant dose reductions without compromising diagnostic quality, and stressing the need for further validation.

Indexed as

BrainCraniosynostosesFiltrationImage Processing, Computer-AssistedPhantoms, ImagingTomography, X-Ray ComputedChildHumansRadiation Dosagecraniosynostosislow‐dose computer tomographypediatricSilverBeamtin filter

Identifiers

PMID40657686
PMCPMC12257353

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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.