Evidence map›Paper›PMID 34191149›Full record

ArticleEuropean journal of hybrid imaging2020

Metal artifact reduction in

Ken Kudura, Tobias Oblasser, Daniela A Ferraro, Caecilia E Mader, Lars Husmann, Kerstin Friedrich, Edwin E G W Ter Voert, Irene A Burger

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of hybrid imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

8 authors at 2 institutions in 1 country.

Ken KuduraDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland. mc_kkenstein@hotmail.com.
Tobias OblasserDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Daniela A FerraroDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Caecilia E MaderDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Lars HusmannDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Kerstin FriedrichGE Healthcare, Waukesha, WI, USA.
Edwin E G W Ter VoertDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Irene A BurgerDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
University Hospital of Zurich · CHKantonsspital Baden · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPET/MRI has a high potential in oncology imaging, especially for tumor indications where high soft tissue contrast is crucial such as genitourinary tumors. One of the challenges for PET/MRI acquisition is handling of metal implants. In addition to conventional methods, more innovative techniques have been developed to reduce artifacts caused by those implants such as the selective multiacquisition variable-image combination (MAVRIC-SL). The aim of this study is to perform a quantitative and qualitative assessment of metal artifact reduction in

methodsWe retrospectively analyzed data of 20 men with 37 metal hip implants diagnosed with PCA, staged or restaged by

resultsThe smallest averaged signal void was observed on MAVRIC-SL sequences with a mean artifact size of 26.17 cm

conclusionsMAVRIC-SL sequence allows better image quality in the surrounding of hip implants by reducing MR signal voids and increasing so the accuracy of anatomical assignment of pathological

Identifiers

PMID34191149
PMCPMC8218168
OpenAlexW3029250712

What OpenQuestion holds

Textmetadata
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.