Evidence map›Paper›PMID 32364160›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2020

Comparison of quantitative measurements of four manufacturer's metal artifact reduction techniques for CT imaging with a self-made acrylic phantom.

Ryan Chou, Hung-Yi Chi, Yi-Hung Lin, Liu-Kuo Ying, Yu-Ju Chao, Cheng-Hsun Lin

Open access · greenAbstract read
In one paragraph

Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

9 citing papers in PubMed, 26 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

6 authors at 5 institutions in 1 country.

Ryan ChouDepartment of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, Taichung, Taiwan.
Hung-Yi ChiDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Yi-Hung LinDepartment of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan.
Liu-Kuo YingDepartment of Radiology, E-DA Cancer Hospital, Kaohsiung, Taiwan.
Yu-Ju ChaoDepartment of Medical Imaging, Cheng Hsin General Hospital, Taipei, Taiwan.
Cheng-Hsun LinDepartment of Medical Imaging and Radiological Sciences, Central Taiwan University of Science and Technology, Taichung, Taiwan.
Central Taiwan University of Science and Technology · TWCheng Hsin General Hospital · TWE-Da Hospital · TWKaohsiung Veterans General Hospital · TWTaichung Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetal artifact reduction (MAR) techniques can improve metal artifacts of computed tomography (CT) images.

objectiveThis work focused on conducting a quantitative analysis to compare the effectiveness of four commercial MAR techniques on three types of metal implants (hip implant, spinal implant, and dental filling) with a self-made acrylic phantom.

methodsA cylindrical phantom was made from acrylic with a groove in the middle, and then three types of metal implants were placed in the groove. The phantom was scanned by four CT scanners and four commercialized MAR techniques were used to analyze the images. The techniques used were single-energy metal artifact reduction (SEMAR, Canon), smart metal artifact reduction software (Smart-MAR, GE), iterative metal artifact reduction (IMAR, Siemens), and metal artifact reduction for orthopedic implants (OMAR, Philips). Quantitative analysis methods included objective and subjective analysis.

resultsThe expected value of SEMAR, Smart-MAR, IMAR, and OMAR were 36.6, 37.8, 5.0, and 2.3, respectively. SEMAR and Smart-MAR achieved optimal results.

conclusionThis study successfully evaluated the effects of four commercial MAR techniques on three types of metal implants in a phantom. All MAR techniques effectively reduced metal artifacts, but the effect was not significant with dental fillings due to high-density material.

Indexed as

Dental Restoration, PermanentProstheses and ImplantsAlgorithmsArtifactsHumansImage Processing, Computer-AssistedTomography, X-Ray ComputedComputed tomographymetal artifact reductionquantitative analysis

Identifiers

PMID32364160
PMCPMC7369061
OpenAlexW3023699718

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.