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Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation

BACKGROUND: To explore the possibility of creating three-dimensional (3D) estimation models for patient-specific wall thickness (WT) maps using patient-specific and cohort-averaged WT, wall shear stress (WSS), and vessel diameter maps in asymptomatic atherosclerotic carotid bifurcations. METHODS: Tw...

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Autores principales: van Ooij, Pim, Cibis, Merih, Rowland, Ethan M., Vernooij, Meike W., van der Lugt, Aad, Weinberg, Peter D., Wentzel, Jolanda J., Nederveen, Aart J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177500/
https://www.ncbi.nlm.nih.gov/pubmed/30302598
http://dx.doi.org/10.1186/s41747-018-0058-1
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author van Ooij, Pim
Cibis, Merih
Rowland, Ethan M.
Vernooij, Meike W.
van der Lugt, Aad
Weinberg, Peter D.
Wentzel, Jolanda J.
Nederveen, Aart J.
author_facet van Ooij, Pim
Cibis, Merih
Rowland, Ethan M.
Vernooij, Meike W.
van der Lugt, Aad
Weinberg, Peter D.
Wentzel, Jolanda J.
Nederveen, Aart J.
author_sort van Ooij, Pim
collection PubMed
description BACKGROUND: To explore the possibility of creating three-dimensional (3D) estimation models for patient-specific wall thickness (WT) maps using patient-specific and cohort-averaged WT, wall shear stress (WSS), and vessel diameter maps in asymptomatic atherosclerotic carotid bifurcations. METHODS: Twenty subjects (aged 75 ± 6 years [mean ± standard deviation], eight women) underwent a 1.5-T MRI examination. Non-gated 3D phase-contrast gradient-echo images and proton density-weighted echo-planar images were retrospectively assessed for WSS, diameter estimation, and WT measurements. Spearman’s ρ and scatter plots were used to determine correlations between individual WT, WSS, and diameter maps. A bootstrapping technique was used to determine correlations between 3D cohort-averaged WT, WSS, and diameter maps. Linear regression between the cohort-averaged WT, WSS, and diameter maps was used to predict individual 3D WT. RESULTS: Spearman’s ρ averaged over the subjects was − 0.24 ± 0.18 (p < 0.001) and 0.07 ± 0.28 (p = 0.413) for WT versus WSS and for WT versus diameter relations, respectively. Cohort-averaged ρ, averaged over 1000 bootstraps, was − 0.56 (95% confidence interval [− 0.74,− 0.38]) for WT versus WSS and 0.23 (95% confidence interval [− 0.06, 0.52]) for WT versus diameter. Scatter plots did not reveal relationships between individual WT and WSS or between WT and diameter data. Linear relationships between these parameters became apparent after averaging over the cohort. Spearman’s ρ between the original and predicted WT maps was 0.21 ± 0.22 (p < 0.001). CONCLUSIONS: With a combination of bootstrapping and cohort-averaging methods, 3D WT maps can be predicted from the individual 3D WSS and diameter maps. The methodology may help to elucidate pathological processes involving WSS in carotid atherosclerosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41747-018-0058-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-61775002018-10-12 Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation van Ooij, Pim Cibis, Merih Rowland, Ethan M. Vernooij, Meike W. van der Lugt, Aad Weinberg, Peter D. Wentzel, Jolanda J. Nederveen, Aart J. Eur Radiol Exp Original Article BACKGROUND: To explore the possibility of creating three-dimensional (3D) estimation models for patient-specific wall thickness (WT) maps using patient-specific and cohort-averaged WT, wall shear stress (WSS), and vessel diameter maps in asymptomatic atherosclerotic carotid bifurcations. METHODS: Twenty subjects (aged 75 ± 6 years [mean ± standard deviation], eight women) underwent a 1.5-T MRI examination. Non-gated 3D phase-contrast gradient-echo images and proton density-weighted echo-planar images were retrospectively assessed for WSS, diameter estimation, and WT measurements. Spearman’s ρ and scatter plots were used to determine correlations between individual WT, WSS, and diameter maps. A bootstrapping technique was used to determine correlations between 3D cohort-averaged WT, WSS, and diameter maps. Linear regression between the cohort-averaged WT, WSS, and diameter maps was used to predict individual 3D WT. RESULTS: Spearman’s ρ averaged over the subjects was − 0.24 ± 0.18 (p < 0.001) and 0.07 ± 0.28 (p = 0.413) for WT versus WSS and for WT versus diameter relations, respectively. Cohort-averaged ρ, averaged over 1000 bootstraps, was − 0.56 (95% confidence interval [− 0.74,− 0.38]) for WT versus WSS and 0.23 (95% confidence interval [− 0.06, 0.52]) for WT versus diameter. Scatter plots did not reveal relationships between individual WT and WSS or between WT and diameter data. Linear relationships between these parameters became apparent after averaging over the cohort. Spearman’s ρ between the original and predicted WT maps was 0.21 ± 0.22 (p < 0.001). CONCLUSIONS: With a combination of bootstrapping and cohort-averaging methods, 3D WT maps can be predicted from the individual 3D WSS and diameter maps. The methodology may help to elucidate pathological processes involving WSS in carotid atherosclerosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s41747-018-0058-1) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-10-10 /pmc/articles/PMC6177500/ /pubmed/30302598 http://dx.doi.org/10.1186/s41747-018-0058-1 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
van Ooij, Pim
Cibis, Merih
Rowland, Ethan M.
Vernooij, Meike W.
van der Lugt, Aad
Weinberg, Peter D.
Wentzel, Jolanda J.
Nederveen, Aart J.
Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation
title Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation
title_full Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation
title_fullStr Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation
title_full_unstemmed Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation
title_short Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation
title_sort spatial correlations between mri-derived wall shear stress and vessel wall thickness in the carotid bifurcation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6177500/
https://www.ncbi.nlm.nih.gov/pubmed/30302598
http://dx.doi.org/10.1186/s41747-018-0058-1
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