Evidence map›Paper›PMID 29147735›Full record

ArticleClinical neuroradiology2019

Reduction of Metallic Artifacts of the Post-treatment Intracranial Aneurysms: Effects of Single Energy Metal Artifact Reduction Algorithm.

Yu-Ning Pan, Ge Chen, Ai-Jing Li, Zhao-Qian Chen, Xiang Gao, Yi Huang, Bradley Mattson, Shan Li

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Clinical neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

20 citing papers in PubMed, 42 citations in OpenAlex.

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  12. Combined application of single-energy metal artifact reduction and reconstruction techniques in patients with Cochlear implants.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale · 2020
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  16. Comparison of quantitative measurements of four manufacturer's metal artifact reduction techniques for CT imaging with a self-made acrylic phantom.Technology and health care : official journal of the European Society for Engineering and Medicine · 2020
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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

8 authors at 4 institutions in 2 countries.

Yu-Ning PanDepartment of Radiology, Ningbo First Hospital, Ningbo Hospital, Zhejiang University, 315010, Ningbo, Zhejiang, China.
Ge ChenDepartment of Clinical medical engineering Ningbo First Hospital, Ningbo Hospital, Zhejiang University, 315010, Ningbo, Zhejiang, China.
Ai-Jing LiDepartment of Radiology, Ningbo No. 2 Hospital, 315010, Ningbo, Zhejiang, China. lajnbey@163.com.
Zhao-Qian ChenDepartment of Radiology, Ningbo First Hospital, Ningbo Hospital, Zhejiang University, 315010, Ningbo, Zhejiang, China.
Xiang GaoDepartment of Neurosurgery, Ningbo First Hospital, Ningbo Hospital, Zhejiang University, 315010, Ningbo, Zhejiang, China.
Yi HuangDepartment of Neurosurgery, Ningbo First Hospital, Ningbo Hospital, Zhejiang University, 315010, Ningbo, Zhejiang, China.
Bradley MattsonDepartment of Radiology, Baystate Medical Center, University of Massachusetts School of Medicine, 01199, Springfield, MA, USA.
Shan LiDepartment of Radiology, Baystate Medical Center, University of Massachusetts School of Medicine, 01199, Springfield, MA, USA.
Ningbo First Hospital · CNBaystate Medical Center · USZhejiang University · CNNingbo No. 2 Hospital · CN

Funding

Huimin Project of Science and Technology of Ningbo City 2016C51013National Key Research and Development Plan 2016YFC0106106Natural Science Foundation Project of Ningbo City 2016A610140Ningbo People of Science and Technology Projects 2015C50005Project of medical and health technology program in Zhejiang province 2018KY155
6 · The paper itself

Abstract

purposeThis study evaluated the quality of computed tomography (CT) and CT angiography images generated using the single-energy metal artifact reduction (SEMAR) algorithm during perfusion examination in patients who had undergone reconstruction with neurosurgical clipping or endovascular coiling for treatment of aneurysms.

methodsA total of 55 patients with implanted intracranial clips or coils (24 men and 31 women; mean age 60.15 ± 15.86 years) underwent perfusion studies evaluated by CT and CT angiography with a 320-row CT scanner. Images were reconstructed with either the SEMAR algorithm combined with iterative reconstruction (SEMAR group), or by iterative reconstruction only (non-SEMAR group control). The SEMAR and control images were compared for artifacts (index and maximum diameter), image quality, cerebral perfusion parameters, noise (images with the worst artifacts), and contrast-to-noise ratio. The metallic artifacts were visually evaluated by two radiologists using a four-point scale in a double-blinded manner.

resultsThe noise, artifact diameter, and artifact index of the SEMAR images were significantly lower than that of the control images, and the subjective image quality score and contrast-to-noise ratio were significantly higher (P < 0.01, all). The cerebral perfusion parameters of the SEMAR and control images were comparable (i. e. blood flow, blood volume, and mean transit time).

conclusionFor imaging intracranial metallic implants, the SEMAR algorithm produced images with significantly fewer artifacts than the iterative reconstruction alone, with no statistical changes in perfusion parameters. Thus, SEMAR reconstruction can be instrumental in improving CT image quality and may ultimately improve the detection of postoperative complications and patient prognosis.

Indexed as

AlgorithmsArtifactsComputed Tomography AngiographyFemaleHumansImage Processing, Computer-AssistedIntracranial AneurysmMaleMetalsMiddle AgedRetrospective StudiesSignal-To-Noise RatioTomography, X-Ray ComputedMetalsComputed tomography angiographyImage qualityMetallic artifactNoisePerfusion

Identifiers

PMID29147735
OpenAlexW2768166559

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.