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目的:①提出脑动脉弹性储备的新概念,发明脑动脉弹性变化的检测指标——颈动脉弹性传递指数(CETI)。②将脑动脉弹性储备与脑血管灌注储备力(CCR)和颈总动脉内中膜厚度(CIMT)进行比较,建立脑动脉弹性储备检测系统。方法:新西兰大白兔18只,随机分为高血压+高血脂组(给予高脂饮食,喂养12周)和对照组(仅供基础饮食)。采用双侧肾动脉狭窄法制作实验兔肾性高血压病模型,采用B超和TCD检测颈内动脉、颈总动脉和基底动脉血流动力学变化,计算CETI,分析CETI、CIMT和CCR之间的相关性。结果:CETI_1与CIMT,CETI_2与CIMT两变量间的关系符合二次曲线关系,分别为R~2=0.84,R=0.92,P<0.05,Y=0.85-1.41t+1.08t~2和R~2=0.72,R=-0.85,P<0.05,Y=1.35 3.47t+4.25t~2;CETI_3与CIMT,CETI_4与CIMT两变量间的关系符合S曲线关系,分别为R~2=0.54,R=0.73,P<0.05,Y=e~((1.11(?)0.20/t))和R~2=0.62,R=0.79,P<0.05,Y=e~((0.68-0.20/t));CETI_1、CETI_2、CETI_3和CETI_4与CCR间各模型的方差分析无统计学意义;CIMT和CCR间各模型的方差分析也无统计学意义。结论:CETI和CIMT之间存在一定相关性,可以用于检测脑动脉硬化改变。CETI和CCR以及CIMT与CCR之间无明显相关性。
OBJECTIVE: To propose a new concept of cerebral arterial elasticity reserve and to find the index of carotid artery elasticity transmission (CETI). ② The cerebral artery elastic reserve and cerebral vascular perfusion reserve (CCR) and carotid artery intima-media thickness (CIMT) were compared to establish a cerebral artery elastic reserve detection system. Methods: Eighteen New Zealand white rabbits were randomly divided into high blood pressure + hyperlipidemia group (given a high fat diet for 12 weeks) and control group (basic diet only). Rabbit models of renal hypertension were established by bilateral renal artery stenosis. The hemodynamics of the internal carotid artery, common carotid artery and basilar artery were detected by B-mode ultrasonography and TCD, CETI was calculated, and the correlation between CETI, CIMT and CCR was analyzed Relevance. Results: The relationship between CETI_1 and CIMT, CETI_2 and CIMT was in accordance with the quadratic curve with R ~ 2 = 0.84, R = 0.92, P <0.05, Y = 0.85-1.41t + 1.08t ~ 2 and R ~ 2 = 0.72, R = -0.85, P <0.05, Y = 1.35 3.47t + 4.25t ~ 2. The relationship between CETI_3 and CIMT, CETI_4 and CIMT was in accordance with S curve, = 0.73, P <0.05, Y = e ~ (1.11 (?) 0.20 / t) and R ~ 2 = 0.62, R = 0.79, P <0.05, Y = e ~ (0.68-0.20 / t) There was no significant difference in ANOVA among the models of CETI_1, CETI_2, CETI_3, and CETI_4 and CCR. The ANOVA of each model between CIMT and CCR was not statistically significant. Conclusion: There is a correlation between CETI and CIMT, which can be used to detect changes of cerebral arteriosclerosis. There was no significant correlation between CETI and CCR and between CIMT and CCR.