Relation between wall shear stress and carotid artery wall thickening MRI versus CFD. Issue 5 (21st March 2016)

• Record Type: Journal Article
• Authors: 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.
• Is Part Of: Journal of biomechanics. Volume 49:Issue 5(2016)
• Page Start: 735
• Page End: 741
• Publication Date: 2016-03-21
• Subjects: CFD Computational fluid dynamics -- PDw-EPI Proton-density weighted echo planar imaging -- PC MRI Phase-contrast MRI -- WSS Wall shear stress -- WSR Wall shear rate -- WSSCFD CFD-based WSS -- WSSMRI PC-MRI-based WSS -- WSSFUP WSS at follow-up -- WSSB WSS at baseline -- WT Wall thickness -- CCA Common carotid artery -- ICA Internal carotid artery -- ECA External carotid artery -- TR Repetition time -- TE Echo Time; Wall shear stress -- Carotid arteries -- Phase contrast MRI -- CFD -- Wall thickness -- Early wall thickening; Animal mechanics -- Periodicals; Biomechanics -- Periodicals; Biomechanics -- Periodicals; Mécanique animale -- Périodiques; Biomécanique -- Périodiques; Electronic journals; 571.4305
• DOI: 10.1016/j.jbiomech.2016.02.004
• Languages: English
• ISSNs: 0021-9290

Abstract

Abstract: 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±0.13 Pa and 0.73±0.25 Pa 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±0.16 mm and did not change over time. The WT was 1.55±0.21 mm in low, 1.33±0.20 mm in medium and 1.21±0.21 mm in the high WSSMRI tertiles. Similarly, the WT was 1.49±0.21 mm in low, 1.33±0.20 mm in medium and 1.26±0.21 mm 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.