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Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation. / van Ooij, Pim; Cibis, Merih; Rowland, Ethan M. et al.

In: European Radiology Experimental, Vol. 2, No. 1, 27, 01.12.2018.

Research output: Contribution to journal › Article › Academic › peer-review

Harvard

van Ooij, P, Cibis, M, Rowland, EM, Vernooij, MW, van der Lugt, A, Weinberg, PD, Wentzel, JJ & Nederveen, AJ 2018, 'Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation', European Radiology Experimental, vol. 2, no. 1, 27. https://doi.org/10.1186/s41747-018-0058-1

APA

van Ooij, P., Cibis, M., Rowland, E. M., Vernooij, M. W., van der Lugt, A., Weinberg, P. D., Wentzel, J. J., & Nederveen, A. J. (2018). Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation. European Radiology Experimental, 2(1), [27]. https://doi.org/10.1186/s41747-018-0058-1

Vancouver

van Ooij P, Cibis M, Rowland EM, Vernooij MW, van der Lugt A, Weinberg PD et al. Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation. European Radiology Experimental. 2018 Dec 1;2(1):27. doi: 10.1186/s41747-018-0058-1

Author

van Ooij, Pim ; Cibis, Merih ; Rowland, Ethan M. et al. / Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation. In: European Radiology Experimental. 2018 ; Vol. 2, No. 1.

BibTeX

@article{691716cc92f2462981f1cb4c40a28ab9,
title = "Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation",
abstract = "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{\textquoteright}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{\textquoteright}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{\textquoteright}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.",
keywords = "Atherosclerosis, Carotid artery, Mechanical stress, Wall thickness",
author = "{van Ooij}, Pim and Merih Cibis and Rowland, {Ethan M.} and Vernooij, {Meike W.} and {van der Lugt}, Aad and Weinberg, {Peter D.} and Wentzel, {Jolanda J.} and Nederveen, {Aart J.}",
year = "2018",
month = dec,
day = "1",
doi = "10.1186/s41747-018-0058-1",
language = "English",
volume = "2",
journal = "European Radiology Experimental",
issn = "2509-9280",
publisher = "Springer Open",
number = "1",

}

RIS

TY - JOUR

T1 - Spatial correlations between MRI-derived wall shear stress and vessel wall thickness in the carotid bifurcation

AU - van Ooij, Pim

AU - Cibis, Merih

AU - Rowland, Ethan M.

AU - Vernooij, Meike W.

AU - van der Lugt, Aad

AU - Weinberg, Peter D.

AU - Wentzel, Jolanda J.

AU - Nederveen, Aart J.

PY - 2018/12/1

Y1 - 2018/12/1

N2 - 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.

AB - 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.

KW - Atherosclerosis

KW - Carotid artery

KW - Mechanical stress

KW - Wall thickness

UR - http://www.scopus.com/inward/record.url?scp=85066760153&partnerID=8YFLogxK

U2 - 10.1186/s41747-018-0058-1

DO - 10.1186/s41747-018-0058-1

M3 - Article

C2 - 30302598

AN - SCOPUS:85066760153

VL - 2

JO - European Radiology Experimental

JF - European Radiology Experimental

SN - 2509-9280

IS - 1

M1 - 27

ER -

ID: 14990337