Impedance Changes Indicate Proximal Ventriculoperitoneal Shunt Obstruction In Vitro

被引:5
作者
Basati, Sukhraaj [2 ]
Tangen, Kevin [1 ]
Hsu, Ying [1 ]
Lin, Hanna [1 ]
Frim, David [3 ]
Linninger, Andreas [1 ]
机构
[1] Univ Illinois, Dept Bioengn, Chicago, IL 60607 USA
[2] Syst Sci Corp, Chicago, IL 60607 USA
[3] Univ Chicago, Dept Neurosurg, Chicago, IL 60637 USA
基金
美国国家卫生研究院;
关键词
Cerebrospinal fluid (CSF); hydrocephalus; impedance sensor; shunt failure; shunt obstruction; ventriculoperitoneal shunt; CATHETER OBSTRUCTION; ASTROCYTE ADHESION; VENTRICULAR CATHETERS; VOLUME MEASUREMENTS; HYDROCEPHALUS; MACROPHAGE; DESIGN; BRAIN; MODEL; FLOW;
D O I
10.1109/TBME.2014.2335171
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Extracranial cerebrospinal fluid (CSF) shunt obstruction is one of the most important problems in hydrocephalus patient management. Despite ongoing research into better shunt design, robust and reliable detection of shunt malfunction remains elusive. The authors present a novel method of correlating degree of tissue ingrowth into ventricular CSF drainage catheters with internal electrical impedance. The impedance based sensor is able to continuously monitor shunt patency using intraluminal electrodes. Prototype obstruction sensors were fabricated for in-vitro analysis of cellular ingrowth into a shunt under static and dynamic flow conditions. Primary astrocyte cell lines and C6 glioma cells were allowed to proliferate up to 7 days within a shunt catheter and the impedance waveform was observed. During cell ingrowth a significant change in the peak-to-peak voltage signal as well as the root-mean-square voltage level was observed, allowing the impedance sensor to potentially anticipate shunt malfunction long before it affects fluid drainage. Finite element modeling was employed to demonstrate that the electrical signal used to monitor tissue ingrowth is contained inside the catheter lumen and does not endanger tissue surrounding the shunt. These results may herald the development of "next generation" shunt technology that allows prediction of malfunction before it affects patient outcome.
引用
收藏
页码:2787 / 2793
页数:7
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