Cargando…
Coronary Stent Artifact Reduction with an Edge-Enhancing Reconstruction Kernel – A Prospective Cross-Sectional Study with 256-Slice CT
PURPOSE: Metallic 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...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851391/ https://www.ncbi.nlm.nih.gov/pubmed/27128507 http://dx.doi.org/10.1371/journal.pone.0154292 |
_version_ | 1782429810966921216 |
---|---|
author | Tan, Stéphanie Soulez, Gilles Diez Martinez, Patricia Larrivée, Sandra Stevens, Louis-Mathieu Goussard, Yves Mansour, Samer Chartrand-Lefebvre, Carl |
author_facet | Tan, Stéphanie Soulez, Gilles Diez Martinez, Patricia Larrivée, Sandra Stevens, Louis-Mathieu Goussard, Yves Mansour, Samer Chartrand-Lefebvre, Carl |
author_sort | Tan, Stéphanie |
collection | PubMed |
description | PURPOSE: Metallic 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. METHODS: This 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. RESULTS: Stent 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). CONCLUSION: In 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. |
format | Online Article Text |
id | pubmed-4851391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48513912016-05-07 Coronary Stent Artifact Reduction with an Edge-Enhancing Reconstruction Kernel – A Prospective Cross-Sectional Study with 256-Slice CT Tan, Stéphanie Soulez, Gilles Diez Martinez, Patricia Larrivée, Sandra Stevens, Louis-Mathieu Goussard, Yves Mansour, Samer Chartrand-Lefebvre, Carl PLoS One Research Article PURPOSE: Metallic 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. METHODS: This 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. RESULTS: Stent 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). CONCLUSION: In 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. Public Library of Science 2016-04-29 /pmc/articles/PMC4851391/ /pubmed/27128507 http://dx.doi.org/10.1371/journal.pone.0154292 Text en © 2016 Tan et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Tan, Stéphanie Soulez, Gilles Diez Martinez, Patricia Larrivée, Sandra Stevens, Louis-Mathieu Goussard, Yves Mansour, Samer Chartrand-Lefebvre, Carl Coronary Stent Artifact Reduction with an Edge-Enhancing Reconstruction Kernel – A Prospective Cross-Sectional Study with 256-Slice CT |
title | Coronary Stent Artifact Reduction with an Edge-Enhancing Reconstruction Kernel – A Prospective Cross-Sectional Study with 256-Slice CT |
title_full | Coronary Stent Artifact Reduction with an Edge-Enhancing Reconstruction Kernel – A Prospective Cross-Sectional Study with 256-Slice CT |
title_fullStr | Coronary Stent Artifact Reduction with an Edge-Enhancing Reconstruction Kernel – A Prospective Cross-Sectional Study with 256-Slice CT |
title_full_unstemmed | Coronary Stent Artifact Reduction with an Edge-Enhancing Reconstruction Kernel – A Prospective Cross-Sectional Study with 256-Slice CT |
title_short | Coronary Stent Artifact Reduction with an Edge-Enhancing Reconstruction Kernel – A Prospective Cross-Sectional Study with 256-Slice CT |
title_sort | coronary stent artifact reduction with an edge-enhancing reconstruction kernel – a prospective cross-sectional study with 256-slice ct |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851391/ https://www.ncbi.nlm.nih.gov/pubmed/27128507 http://dx.doi.org/10.1371/journal.pone.0154292 |
work_keys_str_mv | AT tanstephanie coronarystentartifactreductionwithanedgeenhancingreconstructionkernelaprospectivecrosssectionalstudywith256slicect AT soulezgilles coronarystentartifactreductionwithanedgeenhancingreconstructionkernelaprospectivecrosssectionalstudywith256slicect AT diezmartinezpatricia coronarystentartifactreductionwithanedgeenhancingreconstructionkernelaprospectivecrosssectionalstudywith256slicect AT larriveesandra coronarystentartifactreductionwithanedgeenhancingreconstructionkernelaprospectivecrosssectionalstudywith256slicect AT stevenslouismathieu coronarystentartifactreductionwithanedgeenhancingreconstructionkernelaprospectivecrosssectionalstudywith256slicect AT goussardyves coronarystentartifactreductionwithanedgeenhancingreconstructionkernelaprospectivecrosssectionalstudywith256slicect AT mansoursamer coronarystentartifactreductionwithanedgeenhancingreconstructionkernelaprospectivecrosssectionalstudywith256slicect AT chartrandlefebvrecarl coronarystentartifactreductionwithanedgeenhancingreconstructionkernelaprospectivecrosssectionalstudywith256slicect |