Evidence map›Paper›PMID 31705156›Full record

ArticlePediatric radiology2020

Evaluation of low-contrast detectability for iterative reconstruction in pediatric abdominal computed tomography: a phantom study.

Nicholas Rubert, Richard Southard, Susan M Hamman, Ryan Robison

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Article in Pediatric radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Nicholas RubertDepartment of Radiology, Phoenix Children's Hospital, 1919 E. Thomas Road, Phoenix, AZ, 85016, USA. nrubert@phoenixchildrens.com.ORCID 0000-0002-0356-128X
Richard SouthardDepartment of Radiology, Phoenix Children's Hospital, 1919 E. Thomas Road, Phoenix, AZ, 85016, USA.
Susan M HammanSection of Pediatric Radiology, C. S. Mott Children's Hospital, Department of Radiology, University of Michigan Health System, Ann Arbor, MI, USA.
Ryan RobisonDepartment of Radiology, Phoenix Children's Hospital, 1919 E. Thomas Road, Phoenix, AZ, 85016, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIterative reconstruction is offered by all vendors to achieve similar or better CT image quality at lower doses than images reconstructed with filtered back-projection.

objectiveThe purpose of this study was to investigate the dose-reduction potential for pediatric abdominal CT imaging when using either a commercially available hybrid or a commercially available model-based iterative reconstruction algorithm from a single manufacturer. MATERIALS AND

methodsA phantom containing four low-contrast inserts and a uniform background with total attenuation equivalent to the abdomen of an average 8-year-old child was imaged on a CT scanner (IQon; Philips Healthcare, Cleveland, OH). We reconstructed images using both hybrid iterative reconstruction (iDose

resultsWe calculated dose-reduction potential by either matching average equal observer performance in the two-alternative forced choice experiments or matching CNR. When matching CNR, the dose-reduction potential was 34% to 45% for hybrid iterative reconstruction and 89% to 95% for model-based iterative reconstruction. When matching average observer performance, the dose-reduction potential was 9% to 30% for hybrid iterative reconstruction and 57% to 74% for model-based iterative reconstruction. The range in dose-reduction potential depended on the rod size and contrast level.

conclusionObserver performance in this phantom study indicates that the dose-reduction potential indicated by an observer study is less than that of CNR; extrapolating the results to clinical studies suggests that the dose-reduction potential would also be less.

Indexed as

ChildHumansImage Processing, Computer-AssistedPhantoms, ImagingRadiography, AbdominalTomography, X-Ray ComputedChildrenComputed tomographyDose reductionIterative reconstructionLow-contrast detectabilityPhantom

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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.