Relation between wall shear stress and carotid artery wall thickening MRI versus CFD
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Relation between wall shear stress and carotid artery wall thickening MRI versus CFD. / Cibis, Merih; Potters, Wouter V.; Selwaness, Mariana; Gijsen, Frank J.; Franco, Oscar H.; Arias Lorza, Andres M.; de Bruijne, Marleen; Hofman, Albert; van der Lugt, Aad; Nederveen, Aart J.; Wentzel, Jolanda J.
I: Journal of Biomechanics, Bind 49, Nr. 5, 2016, s. 735-741.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Relation between wall shear stress and carotid artery wall thickening MRI versus CFD
AU - Cibis, Merih
AU - Potters, Wouter V.
AU - Selwaness, Mariana
AU - Gijsen, Frank J.
AU - Franco, Oscar H.
AU - Arias Lorza, Andres M.
AU - de Bruijne, Marleen
AU - Hofman, Albert
AU - van der Lugt, Aad
AU - Nederveen, Aart J.
AU - Wentzel, Jolanda J.
N1 - Copyright © 2016 Elsevier Ltd. All rights reserved.
PY - 2016
Y1 - 2016
N2 - Wall shear stress (WSS), a parameter associated with endothelial function, is calculated by computational fluid dynamics (CFD) or phase-contrast (PC) MRI measurements. Although CFD is common in WSS (WSSCFD) calculations, PC-MRI-based WSS (WSSMRI) is more favorable in population studies; since it is straightforward and less time consuming. However, it is not clear if WSSMRI and WSSCFD show similar associations with vascular pathology. Our aim was to test the associations between wall thickness (WT) of the carotid arteries and WSSMRI and WSSCFD. The subjects (n=14) with an asymptomatic carotid plaque who underwent MRI scans two times within 4 years of time were selected from the Rotterdam Study. We compared WSSCFD and WSSMRI at baseline and follow-up. Baseline WSSMRI and WSSCFD values were divided into 3 categories representing low, medium and high WSS tertiles. WT of each tertile was compared by a one-way ANOVA test. The WSSMRI and WSSCFD were 0.50±0.13Pa and 0.73±0.25Pa at baseline. Although WSSMRI was underestimated, a significant regression was found between WSSMRI and WSSCFD (r(2)=0.71). No significant difference was found between baseline and follow-up WSS by CFD and MRI-based calculations. The WT at baseline was 1.36±0.16mm and did not change over time. The WT was 1.55±0.21mm in low, 1.33±0.20mm in medium and 1.21±0.21mm in the high WSSMRI tertiles. Similarly, the WT was 1.49±0.21mm in low, 1.33±0.20mm in medium and 1.26±0.21mm in high WSSCFD tertiles. We found that WSSMRI and WSSCFD were inversely related with WT. WSSMRI and WSSCFD patterns were similar although MRI-based calculations underestimated WSS.
AB - Wall shear stress (WSS), a parameter associated with endothelial function, is calculated by computational fluid dynamics (CFD) or phase-contrast (PC) MRI measurements. Although CFD is common in WSS (WSSCFD) calculations, PC-MRI-based WSS (WSSMRI) is more favorable in population studies; since it is straightforward and less time consuming. However, it is not clear if WSSMRI and WSSCFD show similar associations with vascular pathology. Our aim was to test the associations between wall thickness (WT) of the carotid arteries and WSSMRI and WSSCFD. The subjects (n=14) with an asymptomatic carotid plaque who underwent MRI scans two times within 4 years of time were selected from the Rotterdam Study. We compared WSSCFD and WSSMRI at baseline and follow-up. Baseline WSSMRI and WSSCFD values were divided into 3 categories representing low, medium and high WSS tertiles. WT of each tertile was compared by a one-way ANOVA test. The WSSMRI and WSSCFD were 0.50±0.13Pa and 0.73±0.25Pa at baseline. Although WSSMRI was underestimated, a significant regression was found between WSSMRI and WSSCFD (r(2)=0.71). No significant difference was found between baseline and follow-up WSS by CFD and MRI-based calculations. The WT at baseline was 1.36±0.16mm and did not change over time. The WT was 1.55±0.21mm in low, 1.33±0.20mm in medium and 1.21±0.21mm in the high WSSMRI tertiles. Similarly, the WT was 1.49±0.21mm in low, 1.33±0.20mm in medium and 1.26±0.21mm in high WSSCFD tertiles. We found that WSSMRI and WSSCFD were inversely related with WT. WSSMRI and WSSCFD patterns were similar although MRI-based calculations underestimated WSS.
U2 - 10.1016/j.jbiomech.2016.02.004
DO - 10.1016/j.jbiomech.2016.02.004
M3 - Journal article
C2 - 26897648
VL - 49
SP - 735
EP - 741
JO - Journal of Biomechanics
JF - Journal of Biomechanics
SN - 0021-9290
IS - 5
ER -
ID: 162034530