Evidence map›Paper›PMID 36057551›Full record

ArticleBMC medical imaging2022

Comparison of the amount of artifacts induced by zirconium and titanium implants in cone-beam computed tomography images.

Abbas Shokri, Fariborz Vafaee, Leila Haghighat, Shiva Shahabi, Maryam Farhadian, Mohammad Reza Jamalpour

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 10 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 1 institution in 1 country.

Abbas ShokriDepartment of Oral and Maxillofacial Radiology, Dental Implants Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Fariborz VafaeeDepartment of Prosthodontics, Dental Implants Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Leila Haghighat, Shiraz, Iran.
Shiva ShahabiDental Implants Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
Maryam FarhadianDepartment of Biostatistics, School of Public Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.
Mohammad Reza JamalpourDepartment of Oral and Maxillofacial Surgery, Dental Implants Research Center, Hamadan University of Medical Sciences, Shaheed Fahmideh Avenue, Hamadan, 6517838636, Iran. jamalpour1972@gmail.com.ORCID 0000-0002-0092-0443
Hamedan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to compare the amount of artifacts induced by the titanium and zirconium implants on cone-beam computed tomography (CBCT) and assess the effect of different exposure settings on the image quality for both materials.

methodsIn this experimental study, 30 zirconium and 30 titanium implants were placed in bovine rib bone blocks. CBCT images were taken in two different fields of view (FOV: 4 × 6 cm

resultsThe results showed that titanium implants caused lower amounts of artifacts than zirconium implants, which was statistically significant (P < 0.001). The larger FOV (6 × 8 cm

conclusionOur results suggest that zirconium implants induce higher amounts of artifacts than titanium ones. We also concluded that the artifacts could be minimized using the larger FOV and voxel size.

Indexed as

ArtifactsZirconiumAnimalsCattleCone-Beam Computed TomographyHumansTitaniumTitaniumZirconiumArtifactsCone-beam computed tomographyTitaniumZirconium

Identifiers

PMID36057551
PMCPMC9440550
OpenAlexW4294368603

What OpenQuestion holds

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LicenceCC BY
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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.