Evidence map›Paper›PMID 26304803›Full record

ArticleEuropean radiology2016

Image quality and dose optimisation for infant CT using a paediatric phantom.

Jack W Lambert, Andrew S Phelps, Jesse L Courtier, Robert G Gould, John D MacKenzie

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Article in European radiology, 2016. 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

5 authors.

Jack W LambertDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA, 94143-0628, USA. jack.lambert@ucsf.edu.
Andrew S PhelpsDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA, 94143-0628, USA.
Jesse L CourtierDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA, 94143-0628, USA.
Robert G GouldDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA, 94143-0628, USA.
John D MacKenzieDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Avenue, San Francisco, CA, 94143-0628, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo optimise image quality and reduce radiation exposure for infant body CT imaging.

methodsAn image quality CT phantom was created to model the infant body habitus. Image noise, spatial resolution, low contrast detectability and tube current modulation (TCM) were measured after adjusting CT protocol parameters. Reconstruction method (FBP, hybrid iterative and model-based iterative), image quality reference parameter, helical pitch and beam collimation were systematically investigated for their influence on image quality and radiation output.

resultsBoth spatial and low contrast resolution were significantly improved with model-based iterative reconstruction (p < 0.05). A change in the helical pitch from 0.969 to 1.375 resulted in a 23% reduction in total TCM, while a change in collimation from 20 to 40 mm resulted in a 46% TCM reduction. Image noise and radiation output were both unaffected by changes in collimation, while an increase in pitch enabled a dose length product reduction of ~6% at equivalent noise. An optimised protocol with ~30% dose reduction was identified using model-based iterative reconstruction.

conclusionsCT technology continues to evolve and require protocol redesign. This work provides an example of how an infant-specific phantom is essential for leveraging this technology to maintain image quality while reducing radiation exposure. KEY POINTS: • A size-specific phantom is critical in protocol development for infant CT. • New reconstruction technology enables ~30% dose reduction at equivalent image quality. • A consistent performance is observed for this scanner system across protocol changes. • A tradeoff exists between reducing exposure time and enabling tube current modulation.

Indexed as

Phantoms, ImagingRadiation DosageHumansInfantTomography, X-Ray ComputedImage reconstructionPaediatricsRadiographic phantomThoraxTomography scannersX-ray computed

Identifiers

PMID26304803

What OpenQuestion holds

Textmetadata
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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.