一种可取出式动脉滤器的实验研究

来源 :中华放射学杂志 | 被引量 : 0次 | 上传用户:wumingxiaoziwoaini
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目的 设计一种颈动脉的物理模型 ,以替代动物实验 ,分析新型动脉滤器栓子捕获效率的影响因素。方法 依照人体参数设置实验参数 ,建立模拟人颈动脉血流状态的物理模型。共进行实验 110 4组 ,以不同方式向模型中注入栓子 17940个 ,应用多元回归Logistic模型分析栓子直径、栓子长度、管径、流量、滤器类型及栓子注入方式等参数对滤器效率的影响。结果 按α =0 0 5标准 ,除流量外 ,栓子直径、栓子长度、管径、滤器类型及栓子注入方式均为影响滤器效率的相关因素 ,其中以栓子直径的影响最为显著。在管径为 4、5、6、7mm时 ,8根丝滤器对 0 5mm栓子的捕获率分别为 :(90± 7) %、(91± 8) %、(81± 8) %、(6 8± 9) % ,对 1mm栓子的捕获率为 :(93± 4) %、(95± 6 ) %、(95±6 ) %、(82± 11) %。总体而言 ,滤器的空隙越小 ,拦截栓子的效率越高 ;被捕获在滤器中的栓子会使滤器对其他栓子的再捕获率下降。结论 动脉滤器对颈动脉狭窄病变的介入治疗是一种有前途的脑保护装置 ,其对栓子的捕获率受多种因素影响 ,物理模型是研究影响滤器捕获效率诸因素的有效方法。 Objective To design a physical model of carotid artery in order to replace the animal experiment and analyze the influencing factors of the efficiency of the embolization of the new arterial filter. Methods The experimental parameters were set according to the human body parameters to establish a physical model to simulate the blood flow of human carotid arteries. A total of 1104 groups were enrolled in this study. A total of 17 940 emboli were injected into the model in different ways. Parameters such as emboli diameter, emboli length, tube diameter, flow rate, filter type and embolic injection mode were analyzed using multiple regression Logistic model. Impact. The results according to α = 0 0 5 standard, in addition to the flow volume, emboli diameter, emboli length, diameter, type of filter and emboli injection are the factors that affect the efficiency of the filter, of which the emboli diameter of the most significant impact. At the diameters of 4, 5, 6, and 7 mm, the capture rates of 8 filaments on 0 mm emboli were (90 ± 7)%, (91 ± 8)%, (81 ± 8)%, (95 ± 6)%, (95 ± 6)%, (82 ± 11)%, respectively. Overall, the smaller the filter gap, the more efficient it is to block the emboli; the emboli trapped in the filter can cause the filter to reduce the rate of recapture of other emboli. Conclusion Interventional treatment of arterial filters for carotid artery stenosis is a promising brain protection device. The capture rate of emboli is influenced by many factors. The physical model is an effective way to study the factors that affect the efficiency of filter trapping.
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