Evidence map›Paper›PMID 28752310›Full record

ArticleNeuroradiology2017

Impact of metal artifact reduction software on image quality of gemstone spectral imaging dual-energy cerebral CT angiography after intracranial aneurysm clipping.

Vincent Dunet, Martine Bernasconi, Steven David Hajdu, Reto Antoine Meuli, Roy Thomas Daniel, Jean-Baptiste Zerlauth

Abstract read
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Article in Neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 36 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.

Vincent DunetDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, Rue du Bugnon 46, 1003, Lausanne, Switzerland. Vincent.Dunet@chuv.ch.ORCID http://orcid.org/0000-0002-9897-4561
Martine BernasconiDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, Rue du Bugnon 46, 1003, Lausanne, Switzerland.
Steven David HajduDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, Rue du Bugnon 46, 1003, Lausanne, Switzerland.
Reto Antoine MeuliDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, Rue du Bugnon 46, 1003, Lausanne, Switzerland.
Roy Thomas DanielDepartment of Neurosurgery, Lausanne University Hospital, Lausanne, Switzerland.
Jean-Baptiste ZerlauthDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital, Rue du Bugnon 46, 1003, Lausanne, Switzerland.
University of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to assess the impact of metal artifact reduction software (MARs) on image quality of gemstone spectral imaging (GSI) dual-energy (DE) cerebral CT angiography (CTA) after intracranial aneurysm clipping.

methodsThis retrospective study was approved by the institutional review board, which waived patient written consent. From January 2013 to September 2016, single source DE cerebral CTA were performed in 45 patients (mean age: 60 ± 9 years, male 9) after intracranial aneurysm clipping and reconstructed with and without MARs. Signal-to-noise (SNR), contrast-to-noise (CNR), and relative CNR (rCNR) ratios were calculated from attenuation values measured in the internal carotid artery (ICA) and middle cerebral artery (MCA). Volume of clip and artifacts and relative clip blurring reduction (rCBR) ratios were also measured at each energy level with/without MARs. Variables were compared between GSI and GSI-MARs using the paired Wilcoxon signed-rank test.

resultsMARs significantly reduced metal artifacts at all energy levels but 130 and 140 keV, regardless of clips' location and number. The optimal rCBR was obtained at 110 and 80 keV, respectively, on GSI and GSI-MARs images, with up to 96% rCNR increase on GSI-MARs images. The best compromise between metal artifact reduction and rCNR was obtained at 70-75 and 65-70 keV for GSI and GSI-MARs images, respectively, with up to 15% rCBR and rCNR increase on GSI-MARs images.

conclusionMARs significantly reduces metal artifacts on DE cerebral CTA after intracranial aneurysm clipping regardless of clips' location and number. It may be used to reduce radiation dose while increasing CNR.

Indexed as

ArtifactsMetalsCerebral AngiographyComputed Tomography AngiographyFemaleHumansIntracranial AneurysmMaleMiddle AgedRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesSoftwareMetalsAneurysm clippingCT angiographyDual-energy CTMetal artifact reduction softwareReconstruction

Identifiers

PMID28752310
OpenAlexW2741782247

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.