Evidence map›Paper›PMID 37524994›Full record

ArticleEuropean radiology experimental2023

Metal artifact reduction on musculoskeletal CT: a phantom and clinical study.

Petter Midthun, Eva Kirkhus, Bjørn Helge Østerås, Per Reidar Høiness, Andrew England, Safora Johansen

Abstract read
In one paragraph

Article in European radiology experimental, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Petter MidthunHealth Faculty, Oslo Metropolitan University, Pilestredet 48, 0130, Oslo, Norway.
Eva KirkhusDepartment of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
Bjørn Helge ØsteråsDepartment of Physics and Image Analysis, Oslo University Hospital, Oslo, Norway.
Per Reidar HøinessDepartment of Orthopaedics, Drammen Hospital, Drammen, Norway.
Andrew EnglandSchool of Medicine, University College Cork, Cork, England.
Safora JohansenHealth Faculty, Oslo Metropolitan University, Pilestredet 48, 0130, Oslo, Norway. safora.johansen@oslomet.no.ORCID 0000-0003-2307-4179

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtifacts caused by metal implants are challenging when undertaking computed tomography (CT). Dedicated algorithms have shown promising results although with limitations. Tin filtration (Sn) in combination with high tube voltage also shows promise but with limitations. There is a need to examine these limitations in more detail. The purpose of this study was to investigate the impact of different metal artefact reduction (MAR) algorithms, tin filtration, and ultra-high-resolution (UHR) scanning, alone or in different combinations in both phantom and clinical settings.

methodsAn ethically approved clinical and phantom study was conducted. A modified Catphan® phantom with titanium and stainless-steel inserts was scanned with six different MAR protocols with tube voltage ranging from 80 to 150 kVp. Other scan parameters were kept identical. The differences (∆) in mean HU and standard deviation (SD) in images, with and without metal, were measured and compared. In the clinical study, three independent readers performed visual image quality assessments on eight different protocols using retrospectively acquired images.

resultsIterative MAR had the lowest ∆HU and ∆SD in the phantom study. For images of the forearm, the soft tissue noise for Sn-based 150-kVp UHR protocol with was significantly higher (p = 0.037) than for single-energy MAR protocols. All Sn-based 150-kVp protocols were rated significantly higher (p < 0.046 than the single-energy MAR protocols in the visual assessment.

conclusionsAll Sn-based 150-kVp UHR protocols showed similar objective MAR in the phantom study, and higher objective MAR and significantly improved visual image quality than single-energy MAR. RELEVANCE STATEMENT: Images with less metal artifacts and higher visual image quality may be more clinically optimal in CT examination of musculoskeletal patients with metal implants. KEY POINTS: • Metal artifact reduction algorithms and Sn filter combined with high kVp reduce artifacts. • Metal artifact reduction algorithms introduce new artifacts in certain metals. • Sn-based protocols alone may be considered as low metal artifact protocols.

Indexed as

ArtifactsTinHumansMetalsRetrospective StudiesTomography, X-Ray ComputedMetalsTinAlgorithmsArtifactsImage processing (computer-assisted)Phantoms (Imaging)Tomography (x-ray computed)

Identifiers

PMID37524994
PMCPMC10390408

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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.