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
Erasmus MC, Biomedical Engineering Department, Rotterdam, The Netherlands.
AMC, Radiology Department, Amsterdam, The Netherlands.
J Biomech. 2016 Mar 21;49(5):735-741. doi: 10.1016/j.jbiomech.2016.02.004. Epub 2016 Feb 10.
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.
壁面剪应力(WSS)是一个与内皮功能相关的参数,可通过计算流体动力学(CFD)或相位对比(PC)磁共振成像测量来计算。虽然CFD在WSS(WSSCFD)计算中很常见,但基于PC-MRI的WSS(WSSMRI)在人群研究中更具优势;因为它直接且耗时较少。然而,尚不清楚WSSMRI和WSSCFD与血管病变是否显示出相似的关联。我们的目的是测试颈动脉壁厚度(WT)与WSSMRI和WSSCFD之间的关联。从鹿特丹研究中选取了14名无症状颈动脉斑块患者,他们在4年内接受了两次MRI扫描。我们比较了基线和随访时的WSSCFD和WSSMRI。基线WSSMRI和WSSCFD值分为代表低、中、高WSS三分位数的3类。通过单因素方差分析比较每个三分位数的WT。基线时WSSMRI和WSSCFD分别为0.50±0.13Pa和0.73±0.25Pa。虽然WSSMRI被低估,但在WSSMRI和WSSCFD之间发现了显著的相关性(r(2)=0.71)。基于CFD和MRI的计算在基线和随访WSS之间未发现显著差异。基线时WT为1.36±0.16mm,且随时间未发生变化。在低WSSMRI三分位数中WT为1.55±0.21mm,中三分位数中为1.33±0.20mm,高三分位数中为1.21±0.21mm。同样,在低WSSCFD三分位数中WT为1.49±0.21mm,中三分位数中为1.33±0.20mm,高三分位数中为1.26±0.21mm。我们发现WSSMRI和WSSCFD与WT呈负相关。尽管基于MRI的计算低估了WSS,但WSSMRI和WSSCFD模式相似。