Evidence map›Paper›PMID 27128507›Full record

ArticlePloS one2016

Coronary Stent Artifact Reduction with an Edge-Enhancing Reconstruction Kernel - A Prospective Cross-Sectional Study with 256-Slice CT.

Stéphanie Tan, Gilles Soulez, Patricia Diez Martinez, Sandra Larrivée, Louis-Mathieu Stevens, Yves Goussard, Samer Mansour, Carl Chartrand-Lefebvre

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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  9. Computed tomography in paediatric heart disease.The British journal of radiology · 2018
    Review
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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.

Stéphanie TanRadiology, University of Montreal Medical Center (CHUM), Montreal, Canada.
Gilles SoulezRadiology, University of Montreal Medical Center (CHUM), Montreal, Canada.
Patricia Diez MartinezRadiology, Centre Hospitalier Universitaire de Sherbrooke (CHUS), Sherbrooke, Canada.
Sandra LarrivéeUniversity of Montreal Medical Center Research Center, Montreal, Canada.
Louis-Mathieu StevensUniversity of Montreal Medical Center Research Center, Montreal, Canada.
Yves GoussardElectrical Engineering, Ecole Polytechnique de Montréal, Montreal, Canada.
Samer MansourUniversity of Montreal Medical Center Research Center, Montreal, Canada.
Carl Chartrand-LefebvreRadiology, University of Montreal Medical Center (CHUM), Montreal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMetallic artifacts can result in an artificial thickening of the coronary stent wall which can significantly impair computed tomography (CT) imaging in patients with coronary stents. The objective of this study is to assess in vivo visualization of coronary stent wall and lumen with an edge-enhancing CT reconstruction kernel, as compared to a standard kernel.

methodsThis is a prospective cross-sectional study involving the assessment of 71 coronary stents (24 patients), with blinded observers. After 256-slice CT angiography, image reconstruction was done with medium-smooth and edge-enhancing kernels. Stent wall thickness was measured with both orthogonal and circumference methods, averaging thickness from diameter and circumference measurements, respectively. Image quality was assessed quantitatively using objective parameters (noise, signal to noise (SNR) and contrast to noise (CNR) ratios), as well as visually using a 5-point Likert scale.

resultsStent wall thickness was decreased with the edge-enhancing kernel in comparison to the standard kernel, either with the orthogonal (0.97 ± 0.02 versus 1.09 ± 0.03 mm, respectively; p<0.001) or the circumference method (1.13 ± 0.02 versus 1.21 ± 0.02 mm, respectively; p = 0.001). The edge-enhancing kernel generated less overestimation from nominal thickness compared to the standard kernel, both with the orthogonal (0.89 ± 0.19 versus 1.00 ± 0.26 mm, respectively; p<0.001) and the circumference (1.06 ± 0.26 versus 1.13 ± 0.31 mm, respectively; p = 0.005) methods. The edge-enhancing kernel was associated with lower SNR and CNR, as well as higher background noise (all p < 0.001), in comparison to the medium-smooth kernel. Stent visual scores were higher with the edge-enhancing kernel (p<0.001).

conclusionIn vivo 256-slice CT assessment of coronary stents shows that the edge-enhancing CT reconstruction kernel generates thinner stent walls, less overestimation from nominal thickness, and better image quality scores than the standard kernel.

Indexed as

Spatial AnalysisStentsAgedArtifactsCoronary AngiographyCoronary VesselsCross-Sectional StudiesHumansImage Processing, Computer-AssistedMetalsMiddle AgedProspective StudiesSignal-To-Noise RatioTomography, X-Ray ComputedMetals

Identifiers

PMID27128507
PMCPMC4851391

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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.