Literature DB >> 20348535

The mechanical triggers of plaque rupture: shear stress vs pressure gradient.

Z-Y Li1, V Taviani, T Tang, U Sadat, V Young, A Patterson, M Graves, J H Gillard.   

Abstract

The aim of this study was to evaluate the mechanical triggers that may cause plaque rupture. Wall shear stress (WSS) and pressure gradient are the direct mechanical forces acting on the plaque in a stenotic artery. Their influence on plaque stability is thought to be controversial. This study used a physiologically realistic, pulsatile flow, two-dimensional, cine phase-contrast MRI sequence in a patient with a 70% carotid stenosis. Instead of considering the full patient-specific carotid bifurcation derived from MRI, only the plaque region has been modelled by means of the idealised flow model. WSS reached a local maximum just distal to the stenosis followed by a negative local minimum. A pressure drop across the stenosis was found which varied significantly during systole and diastole. The ratio of the relative importance of WSS and pressure was assessed and was found to be less than 0.07% for all time phases, even at the throat of the stenosis. In conclusion, although the local high WSS at the stenosis may damage the endothelium and fissure plaque, the magnitude of WSS is small compared with the overall loading on plaque. Therefore, pressure may be the main mechanical trigger for plaque rupture and risk stratification using stress analysis of plaque stability may only need to consider the pressure effect.

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Year:  2009        PMID: 20348535     DOI: 10.1259/bjr/15036781

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  13 in total

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7.  Subject-Specific Fully-Coupled and One-Way Fluid-Structure Interaction Models for Modeling of Carotid Atherosclerotic Plaques in Humans.

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9.  Characteristics of pulsatile flows in curved stenosed channels.

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Authors:  Zimo Chen; Haiqiang Qin; Jia Liu; Bokai Wu; Zaiheng Cheng; Yong Jiang; Liping Liu; Lina Jing; Xinyi Leng; Jing Jing; Yilong Wang; Yongjun Wang
Journal:  Front Neurol       Date:  2020-01-17       Impact factor: 4.003

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