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Manual versus Automated Carotid Artery Plaque Component Segmentation in High and Lower Quality 3.0 Tesla MRI Scans

PURPOSE: To study the interscan reproducibility of manual versus automated segmentation of carotid artery plaque components, and the agreement between both methods, in high and lower quality MRI scans. METHODS: 24 patients with 30–70% carotid artery stenosis were planned for 3T carotid MRI, followed...

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Autores principales: Smits, Loek P., van Wijk, Diederik F., Duivenvoorden, Raphael, Xu, Dongxiang, Yuan, Chun, Stroes, Erik S., Nederveen, Aart J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5145140/
https://www.ncbi.nlm.nih.gov/pubmed/27930665
http://dx.doi.org/10.1371/journal.pone.0164267
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author Smits, Loek P.
van Wijk, Diederik F.
Duivenvoorden, Raphael
Xu, Dongxiang
Yuan, Chun
Stroes, Erik S.
Nederveen, Aart J.
author_facet Smits, Loek P.
van Wijk, Diederik F.
Duivenvoorden, Raphael
Xu, Dongxiang
Yuan, Chun
Stroes, Erik S.
Nederveen, Aart J.
author_sort Smits, Loek P.
collection PubMed
description PURPOSE: To study the interscan reproducibility of manual versus automated segmentation of carotid artery plaque components, and the agreement between both methods, in high and lower quality MRI scans. METHODS: 24 patients with 30–70% carotid artery stenosis were planned for 3T carotid MRI, followed by a rescan within 1 month. A multicontrast protocol (T1w,T2w, PDw and TOF sequences) was used. After co-registration and delineation of the lumen and outer wall, segmentation of plaque components (lipid-rich necrotic cores (LRNC) and calcifications) was performed both manually and automated. Scan quality was assessed using a visual quality scale. RESULTS: Agreement for the detection of LRNC (Cohen’s kappa (k) is 0.04) and calcification (k = 0.41) between both manual and automated segmentation methods was poor. In the high-quality scans (visual quality score ≥ 3), the agreement between manual and automated segmentation increased to k = 0.55 and k = 0.58 for, respectively, the detection of LRNC and calcification larger than 1 mm(2). Both manual and automated analysis showed good interscan reproducibility for the quantification of LRNC (intraclass correlation coefficient (ICC) of 0.94 and 0.80 respectively) and calcified plaque area (ICC of 0.95 and 0.77, respectively). CONCLUSION: Agreement between manual and automated segmentation of LRNC and calcifications was poor, despite a good interscan reproducibility of both methods. The agreement between both methods increased to moderate in high quality scans. These findings indicate that image quality is a critical determinant of the performance of both manual and automated segmentation of carotid artery plaque components.
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spelling pubmed-51451402016-12-22 Manual versus Automated Carotid Artery Plaque Component Segmentation in High and Lower Quality 3.0 Tesla MRI Scans Smits, Loek P. van Wijk, Diederik F. Duivenvoorden, Raphael Xu, Dongxiang Yuan, Chun Stroes, Erik S. Nederveen, Aart J. PLoS One Research Article PURPOSE: To study the interscan reproducibility of manual versus automated segmentation of carotid artery plaque components, and the agreement between both methods, in high and lower quality MRI scans. METHODS: 24 patients with 30–70% carotid artery stenosis were planned for 3T carotid MRI, followed by a rescan within 1 month. A multicontrast protocol (T1w,T2w, PDw and TOF sequences) was used. After co-registration and delineation of the lumen and outer wall, segmentation of plaque components (lipid-rich necrotic cores (LRNC) and calcifications) was performed both manually and automated. Scan quality was assessed using a visual quality scale. RESULTS: Agreement for the detection of LRNC (Cohen’s kappa (k) is 0.04) and calcification (k = 0.41) between both manual and automated segmentation methods was poor. In the high-quality scans (visual quality score ≥ 3), the agreement between manual and automated segmentation increased to k = 0.55 and k = 0.58 for, respectively, the detection of LRNC and calcification larger than 1 mm(2). Both manual and automated analysis showed good interscan reproducibility for the quantification of LRNC (intraclass correlation coefficient (ICC) of 0.94 and 0.80 respectively) and calcified plaque area (ICC of 0.95 and 0.77, respectively). CONCLUSION: Agreement between manual and automated segmentation of LRNC and calcifications was poor, despite a good interscan reproducibility of both methods. The agreement between both methods increased to moderate in high quality scans. These findings indicate that image quality is a critical determinant of the performance of both manual and automated segmentation of carotid artery plaque components. Public Library of Science 2016-12-08 /pmc/articles/PMC5145140/ /pubmed/27930665 http://dx.doi.org/10.1371/journal.pone.0164267 Text en © 2016 Smits 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
Smits, Loek P.
van Wijk, Diederik F.
Duivenvoorden, Raphael
Xu, Dongxiang
Yuan, Chun
Stroes, Erik S.
Nederveen, Aart J.
Manual versus Automated Carotid Artery Plaque Component Segmentation in High and Lower Quality 3.0 Tesla MRI Scans
title Manual versus Automated Carotid Artery Plaque Component Segmentation in High and Lower Quality 3.0 Tesla MRI Scans
title_full Manual versus Automated Carotid Artery Plaque Component Segmentation in High and Lower Quality 3.0 Tesla MRI Scans
title_fullStr Manual versus Automated Carotid Artery Plaque Component Segmentation in High and Lower Quality 3.0 Tesla MRI Scans
title_full_unstemmed Manual versus Automated Carotid Artery Plaque Component Segmentation in High and Lower Quality 3.0 Tesla MRI Scans
title_short Manual versus Automated Carotid Artery Plaque Component Segmentation in High and Lower Quality 3.0 Tesla MRI Scans
title_sort manual versus automated carotid artery plaque component segmentation in high and lower quality 3.0 tesla mri scans
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5145140/
https://www.ncbi.nlm.nih.gov/pubmed/27930665
http://dx.doi.org/10.1371/journal.pone.0164267
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