Document Detail

Simulation of existing and future electromechanical shunt valves in combination with a model for brain fluid dynamics.
MedLine Citation:
PMID:  22116428     Owner:  NLM     Status:  In-Data-Review    
Several models are available to simulate raised intracranial pressure (ICP) in hydrocephalus. However, the hydrodynamic effect of an implanted shunt has seldom been examined. In this study, the simple model of Ursino and Lodi [14]is extended to include (1) the effect of a typical ball-in-cone valve, (2) the effect of the size of the diameter of the connecting tube from valve to abdomen, and (3) the concept of a controlled electromechanical shunt valve in overall cerebrospinal fluid dynamics.By means of simulation, it is shown how a shunt can lower ICP. Simulation results indicate that P and B waves still exist but at a lower ICP level and that, due to the exponential pressure-volume curve, their amplitude is also considerably lowered. A waves only develop if the valve is partially blocked. The resulting ICP is above the opening pressure of the valve, depending on the drain and resistance of the shunt.The concept of a new electromechanical shunt was more successful than the traditional mechanical valves in keeping ICP at a desired level. The influence of the patient's movements or coughing on ICP as well as the body position affecting the reference ICP, which can be measured, has not yet been modeled and should be addressed in future using suitable algorithms.
Inga Margrit Elixmann; M Walter; M Kiefer; S Leonhardt
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Acta neurochirurgica. Supplement     Volume:  113     ISSN:  0065-1419     ISO Abbreviation:  Acta Neurochir. Suppl.     Publication Date:  2012  
Date Detail:
Created Date:  2011-11-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100962752     Medline TA:  Acta Neurochir Suppl     Country:  Austria    
Other Details:
Languages:  eng     Pagination:  77-81     Citation Subset:  IM    
Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Aachen, Germany,
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