Evidence map›Paper›PMID 31642702›Full record

ArticleThe British journal of radiology2020

Impact of different metal artifact reduction techniques on attenuation correction in 18F-FDG PET/CT examinations.

Ole Martin, Joel Aissa, Johannes Boos, Katrin Wingendorf, David Latz, Christian Buchbender, Susanne Gaspers, Christina Antke, Martin Sedlmair, Gerald Antoch and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Ole MartinDepartment of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, D-40225 Dusseldorf, Germany.ORCID http://orcid.org/0000-0001-6900-6572
Joel AissaDepartment of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, D-40225 Dusseldorf, Germany.
Johannes BoosDepartment of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, D-40225 Dusseldorf, Germany.
Katrin WingendorfDepartment of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, D-40225 Dusseldorf, Germany.
David LatzClinic for Trauma and Hand Surgery, University Dusseldorf, Medical Faculty, D-40225 Dusseldorf, Germany.
Christian BuchbenderDepartment of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, D-40225 Dusseldorf, Germany.
Susanne GaspersClinic for Nuclear Medicine, University Dusseldorf, Medical Faculty, D-40225 Dusseldorf, Germany.
Christina AntkeClinic for Nuclear Medicine, University Dusseldorf, Medical Faculty, D-40225 Dusseldorf, Germany.
Martin SedlmairDepartment of Computed Tomography, Siemens Healthineers GmH, Forchheim, Germany.
Gerald AntochDepartment of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, D-40225 Dusseldorf, Germany.
Benedikt M SchaarschmidtDepartment of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, D-40225 Dusseldorf, Germany.
Heinrich Heine University Düsseldorf · DEDüsseldorf University Hospital · DESiemens Healthineers (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the impact of different metal artifact reduction (MAR) algorithms on Hounsfield unit (HU) and standardized uptake values (SUV) in a phantom setting and verify these results in patients with metallic implants undergoing oncological PET/CT examinations. METHODS AND MATERIALS: In this prospective study, PET-CT examinations of 28 oncological patients (14 female, 14 male, mean age 69.5 ± 15.2y) with 38 different metal implants were included. CT datasets were reconstructed using standard weighted filtered back projection (WFBP) without MAR, MAR in image space (MARIS) and iterative MAR (iMAR, hip algorithm). The three datasets were used for PET attenuation correction. SUV and HU measurements were performed at the site of the most prominent bright and dark band artifacts. Differences between HU and SUV values across the different reconstructions were compared using paired t-tests. Bonferroni correction was used to prevent alpha-error accumulation (

resultsFor bright band artifacts, MARIS led to a non-significant mean decrease of 12.0% (345 ± 315 HU) in comparison with WFBP (391 ± 293 HU), whereas iMAR led to a significant decrease of 68.3% (125 ± 185 HU,

conclusioniMAR significantly reduces artifacts caused by metal implants in CT and thus leads to a significant change of SUV measurements in bright and dark band artifacts compared with WFBP and MARIS, thus probably improving PET quantification. ADVANCES IN KNOWLEDGE: The present work indicates that MAR algorithms such as iMAR algorithm in integrated PET/CT scanners are useful to improve CT image quality as well as PET quantification in the evaluation of tracer uptake adjacent to large metal implants. A detailed analysis of oncological patients with various large metal implants using different MAR algorithms in PET/CT has not been conducted yet.

Indexed as

ArtifactsMetalsProstheses and ImplantsAgedAlgorithmsFemaleFluorodeoxyglucose F18HumansMalePhantoms, ImagingPositron Emission Tomography Computed TomographyProspective StudiesRadiographic Image Interpretation, Computer-AssistedRadiopharmaceuticalsFluorodeoxyglucose F18MetalsRadiopharmaceuticals

Identifiers

PMID31642702
PMCPMC6948077
OpenAlexW2981532119

What OpenQuestion holds

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Registered trials

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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.