摘要
颅内压(Intracranial Pressure,ICP)的实时监测临床上有着十分重要的意义。临床测量颅内压的方法是通过穿刺小脑延髓池或侧脑室用压力管测量,然而此方法存在一定的风险。由于正常成人的颅腔和脊髓腔是一个连通的容器,因此腰区脑脊液压(lumbar cerebrospinal fluid pressure,LCP)和颅内压存在一定联系,检测腰区脑脊液压来预估颅内压成为临床的需要。本研究在动物(犬)实验结果的基础上,建立了反映颅内压变化的集中参数模型,模型中整合了腰区脑脊液压与颅内压和脑血流的相互作用,数值模拟了颅内压。结果显示,数值模拟得到的ICP曲线与动物实验检测的ICP曲线经秩和检验无显著性差异,模型参数的变化和动物实验状况的变化相吻合,可以为临床颅内压监测及诊疗提供一定的参考。
The real-time monitor of intracranial pressure （ICP） has significant importance in clinic. Direct detection of ICP in intracranial ventricle through pressure transducers has certain risk. Since intracranial cavity connects with lumbar subarachnoid cavity, there exists certain relationship between ICP and lumbar cerebrospinal fluid pressure （LCP）, so it is possible to predict ICP through LCP in clinic. A lumped parameter mathematical model of ICP dynamics was established based on animal （dogs） experiments. It includes the interplays of LCP, ICP and cerebral blood flow in order to predict ICP. The results show that there is no significant difference between predicted ICP curve and experimental ICP curve through rank sum test, the changes of parameters in simulation are consistent with animal experiments. Thus it can offer certain referential values for clinical ICP detection and diagnosis.
出处
《力学季刊》
CSCD
北大核心
2005年第4期677-681,共5页
Chinese Quarterly of Mechanics
基金
高等学校博士学科点专项科研基金(2000.26534)
复旦大学脑科学基金资助
关键词
颅内压动力学
腰区脑脊液压
脑血流
集中参数模型
intracranial pressure dynamics
lumbar cerebrospinal fluid pressure
cerebral blood flow
lumped parameter mathematical model
