UFPWV技术定量评价动脉粥样硬化模型兔的腹主动脉弹性

doi:10.12117/jccmi.2018.09.006

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Abstract Objective: The purpose of this study was to explore the value of Ultrafast pulse wave velocity(UFPWV) technology in quantitative evaluation of arterial elasticity. Methods: Forty-five male New Zealand white rabbits were divided into two groups, a group of 35 rabbits fed up with HFD to establish animal models of atherosclerosis and another group of 10 rabbits fed normal diet as the control group. UFPWV was used at the beginning and 24th week. Rabbits were sacrificed for pathological examination at 24th week. Rabbits with plaques were divided into plaque group, and the ones without were divided into non-plaque group. Parameters of the HFD group and the normal control group were compared, and self contrast was made. Meanwhile the parameters in the non-plaque group, the plaque group and the normal control group were compared at 24th week. The ROC curve was plotted to evaluate the efficacy of UFPWV technology. Result: Both PWVBs and PWVEs of the HFD group were significantly higher than the control group(P<0.05), and both the parameters of the plaque group were higher than the normal control group and the non-plaque group(P<0.05). There was also a increase in the non-plaque group compared with the control group(P<0.05). The area under the ROC curve of the parameters in diagnosing atherosclerosis were 0.873 and 0.892, respectively for PWVBs and PWVEs. Conclusion: Arterial elasticity might decrease paralleled with the increase of arterial stiffness, and there’s a decrease of arterial elasticity in the early stage of atherosclerosis before the morphological changes which could be successfully detected by the effective technology called UFPWV.

Received: 12 October 2017

PACS:	Ｒ543.5
	Ｒ445.1

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	Articles by authors
	REN Bo
	HE Peng
	TANG Wen
	XIONG Ni
	GU Peng

Cite this article:

REN Bo,HE Peng,TANG Wen, et al. Experimental study of Ultrafast pulse wave velocity technology in quantitative evaluation of#br# abdominal aortic elasticity in atherosclerotic rabbit models[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2018, 29(9): 629-632.

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http://www.jccmi.com.cn/EN/10.12117/jccmi.2018.09.006 OR http://www.jccmi.com.cn/EN/Y2018/V29/I9/629

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