Evidence map›Paper›PMID 24457821›Full record

ArticleAJNR. American journal of neuroradiology2014

Artifact reduction of different metallic implants in flat detector C-arm CT.

S-C Hung, C-C Wu, C-J Lin, W-Y Guo, C-B Luo, F-C Chang, C-Y Chang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AJNR. American journal of neuroradiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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  5. Automatic quantification framework to detect cracks in teeth.Proceedings of SPIE--the International Society for Optical Engineering · 2018
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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

7 authors.

S-C HungFrom the Department of Radiology (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), Taipei Veterans General Hospital, Taipei, TaiwanDepartment of Biomedical Imaging and Radiological Sciences (S.-C.H.)School of Medicine (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), National Yang-Ming University, Taipei, Taiwan.
C-C WuFrom the Department of Radiology (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), Taipei Veterans General Hospital, Taipei, TaiwanSchool of Medicine (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), National Yang-Ming University, Taipei, Taiwan.
C-J LinFrom the Department of Radiology (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), Taipei Veterans General Hospital, Taipei, TaiwanSchool of Medicine (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), National Yang-Ming University, Taipei, Taiwan.
W-Y GuoFrom the Department of Radiology (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), Taipei Veterans General Hospital, Taipei, TaiwanSchool of Medicine (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), National Yang-Ming University, Taipei, Taiwan. wyguo@vghtpe.gov.tw.
C-B LuoFrom the Department of Radiology (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), Taipei Veterans General Hospital, Taipei, TaiwanSchool of Medicine (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), National Yang-Ming University, Taipei, Taiwan.
F-C ChangFrom the Department of Radiology (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), Taipei Veterans General Hospital, Taipei, TaiwanSchool of Medicine (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), National Yang-Ming University, Taipei, Taiwan.
C-Y ChangFrom the Department of Radiology (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), Taipei Veterans General Hospital, Taipei, TaiwanSchool of Medicine (S.-C.H., C.-C.W., C.-J.L., W.-Y.G., C.-B.L., F.-C.C., C.-Y.C.), National Yang-Ming University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeFlat detector CT has been increasingly used as a follow-up examination after endovascular intervention. Metal artifact reduction has been successfully demonstrated in coil mass cases, but only in a small series. We attempted to objectively and subjectively evaluate the feasibility of metal artifact reduction with various metallic objects and coil lengths. MATERIALS AND

methodsWe retrospectively reprocessed the flat detector CT data of 28 patients (15 men, 13 women; mean age, 55.6 years) after they underwent endovascular treatment (20 coiling ± stent placement, 6 liquid embolizers) or shunt drainage (n = 2) between January 2009 and November 2011 by using a metal artifact reduction correction algorithm. We measured CT value ranges and noise by using region-of-interest methods, and 2 experienced neuroradiologists rated the degrees of improved imaging quality and artifact reduction by comparing uncorrected and corrected images.

resultsAfter we applied the metal artifact reduction algorithm, the CT value ranges and the noise were substantially reduced (1815.3 ± 793.7 versus 231.7 ± 95.9 and 319.9 ± 136.6 versus 45.9 ± 14.0; both P < .001) regardless of the types of metallic objects and various sizes of coil masses. The rater study achieved an overall improvement of imaging quality and artifact reduction (85.7% and 78.6% of cases by 2 raters, respectively), with the greatest improvement in the coiling group, moderate improvement in the liquid embolizers, and the smallest improvement in ventricular shunting (overall agreement, 0.857).

conclusionsThe metal artifact reduction algorithm substantially reduced artifacts and improved the objective image quality in every studied case. It also allowed improved diagnostic confidence in most cases.

Indexed as

ArtifactsMetalsProstheses and ImplantsAdolescentAdultAgedAged, 80 and overAlgorithmsCerebral AngiographyFeasibility StudiesFemaleHumansMaleMiddle AgedRadiographic Image EnhancementRadiography, InterventionalMetals

Identifiers

PMID24457821
PMCPMC7966594

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