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Single-energy versus dual-energy imaging during CT-guided biopsy using dedicated metal artifact reduction algorithm in an in vivo pig model

PURPOSE: To evaluate dual-energy CT (DE) and dedicated metal artifact reduction algorithms (iMAR) during CT-guided biopsy in comparison to single-energy CT (SE). METHODS: A trocar was placed in the liver of six pigs. CT acquisitions were performed with SE and dose equivalent DE at four dose levels(1...

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Autores principales: Do, Thuy Duong, Heim, Julia, Skornitzke, Stephan, Melzig, Claudius, Vollherbst, Dominik F., Faerber, Michael, Pereira, Philippe L., Kauczor, Hans-Ulrich, Sommer, Christof Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075226/
https://www.ncbi.nlm.nih.gov/pubmed/33901200
http://dx.doi.org/10.1371/journal.pone.0249921
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author Do, Thuy Duong
Heim, Julia
Skornitzke, Stephan
Melzig, Claudius
Vollherbst, Dominik F.
Faerber, Michael
Pereira, Philippe L.
Kauczor, Hans-Ulrich
Sommer, Christof Matthias
author_facet Do, Thuy Duong
Heim, Julia
Skornitzke, Stephan
Melzig, Claudius
Vollherbst, Dominik F.
Faerber, Michael
Pereira, Philippe L.
Kauczor, Hans-Ulrich
Sommer, Christof Matthias
author_sort Do, Thuy Duong
collection PubMed
description PURPOSE: To evaluate dual-energy CT (DE) and dedicated metal artifact reduction algorithms (iMAR) during CT-guided biopsy in comparison to single-energy CT (SE). METHODS: A trocar was placed in the liver of six pigs. CT acquisitions were performed with SE and dose equivalent DE at four dose levels(1.7–13.5mGy). Iterative reconstructions were performed with and without iMAR. ROIs were placed in four positions e.g. at the trocar tip(TROCAR) and liver parenchyma adjacent to the trocar tip(LIVER-1) by two independent observers for quantitative analysis using CT numbers, noise, SNR and CNR. Qualitative image analysis was performed regarding overall image quality and artifacts generated by iMAR. RESULTS: There were no significant differences in CT numbers between DE and SE at TROCAR and LIVER-1 irrespective of iMAR. iMAR significantly reduced metal artifacts at LIVER-1 for all exposure settings for DE and SE(p = 0.02-0.04), but not at TROCAR. SNR, CNR and noise were comparable for DE and SE. SNR was best for high dose levels of 6.7/13.5mGy. Mean difference in the Blant-Altman analysis was -8.43 to 0.36. Cohen’s kappa for qualitative interreader-agreement was 0.901. CONCLUSIONS: iMAR independently reduced metal artifacts more effectively and efficiently than CT acquisition in DE at any dose setting and its application is feasible during CT-guided liver biopsy.
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spelling pubmed-80752262021-05-05 Single-energy versus dual-energy imaging during CT-guided biopsy using dedicated metal artifact reduction algorithm in an in vivo pig model Do, Thuy Duong Heim, Julia Skornitzke, Stephan Melzig, Claudius Vollherbst, Dominik F. Faerber, Michael Pereira, Philippe L. Kauczor, Hans-Ulrich Sommer, Christof Matthias PLoS One Research Article PURPOSE: To evaluate dual-energy CT (DE) and dedicated metal artifact reduction algorithms (iMAR) during CT-guided biopsy in comparison to single-energy CT (SE). METHODS: A trocar was placed in the liver of six pigs. CT acquisitions were performed with SE and dose equivalent DE at four dose levels(1.7–13.5mGy). Iterative reconstructions were performed with and without iMAR. ROIs were placed in four positions e.g. at the trocar tip(TROCAR) and liver parenchyma adjacent to the trocar tip(LIVER-1) by two independent observers for quantitative analysis using CT numbers, noise, SNR and CNR. Qualitative image analysis was performed regarding overall image quality and artifacts generated by iMAR. RESULTS: There were no significant differences in CT numbers between DE and SE at TROCAR and LIVER-1 irrespective of iMAR. iMAR significantly reduced metal artifacts at LIVER-1 for all exposure settings for DE and SE(p = 0.02-0.04), but not at TROCAR. SNR, CNR and noise were comparable for DE and SE. SNR was best for high dose levels of 6.7/13.5mGy. Mean difference in the Blant-Altman analysis was -8.43 to 0.36. Cohen’s kappa for qualitative interreader-agreement was 0.901. CONCLUSIONS: iMAR independently reduced metal artifacts more effectively and efficiently than CT acquisition in DE at any dose setting and its application is feasible during CT-guided liver biopsy. Public Library of Science 2021-04-26 /pmc/articles/PMC8075226/ /pubmed/33901200 http://dx.doi.org/10.1371/journal.pone.0249921 Text en © 2021 Do et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Do, Thuy Duong
Heim, Julia
Skornitzke, Stephan
Melzig, Claudius
Vollherbst, Dominik F.
Faerber, Michael
Pereira, Philippe L.
Kauczor, Hans-Ulrich
Sommer, Christof Matthias
Single-energy versus dual-energy imaging during CT-guided biopsy using dedicated metal artifact reduction algorithm in an in vivo pig model
title Single-energy versus dual-energy imaging during CT-guided biopsy using dedicated metal artifact reduction algorithm in an in vivo pig model
title_full Single-energy versus dual-energy imaging during CT-guided biopsy using dedicated metal artifact reduction algorithm in an in vivo pig model
title_fullStr Single-energy versus dual-energy imaging during CT-guided biopsy using dedicated metal artifact reduction algorithm in an in vivo pig model
title_full_unstemmed Single-energy versus dual-energy imaging during CT-guided biopsy using dedicated metal artifact reduction algorithm in an in vivo pig model
title_short Single-energy versus dual-energy imaging during CT-guided biopsy using dedicated metal artifact reduction algorithm in an in vivo pig model
title_sort single-energy versus dual-energy imaging during ct-guided biopsy using dedicated metal artifact reduction algorithm in an in vivo pig model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075226/
https://www.ncbi.nlm.nih.gov/pubmed/33901200
http://dx.doi.org/10.1371/journal.pone.0249921
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