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Clinical assessment of cerebrospinal fluid dynamics in hydrocephalus. Guide to interpretation based on observational

R A Weerakkody1, M Czosnyka, M U Schuhmann

  • 1Academic Department of Neurosurgery, University of Cambridge, Cambridge, UK. Weerakkody@cantab.net

Acta Neurologica Scandinavica
|January 7, 2011
PubMed

Insights

Quantitative cerebrospinal fluid (CSF) dynamics testing helps distinguish shunt-responsive hydrocephalus from brain atrophy and identifies shunt malfunction. This aids in diagnosing hydrocephalus and assessing shunt function for better patient management.

Area of Science:

  • Neurology
  • Neurosurgery
  • Biomedical Engineering

Background:

  • Hydrocephalus diagnosis and shunt management present challenges due to overlapping clinical symptoms and imaging findings.
  • Predicting which patients benefit from cerebrospinal fluid (CSF) diversion or shunt revision remains difficult.
  • Understanding CSF dynamics is crucial for accurate diagnosis and treatment optimization.

Purpose of the Study:

  • To update knowledge on using quantitative CSF dynamics parameters for diagnosing shunt-responsive hydrocephalus.
  • To assess the utility of these parameters in evaluating shunt function in treated patients.
  • To differentiate between shunt-responsive hydrocephalus and non-responsive brain atrophy.

Main Methods:

  • Analysis of 1423 patients undergoing 2665 CSF infusion tests and 305 overnight intracranial pressure (ICP) monitoring sessions over 17 years.
  • Quantitative parameters studied include resistance to CSF outflow (Rcsf), pulse amplitude of ICP waveform (AMP), RAP index, and slow vasogenic waves.
  • Typical values were established for differentiating conditions and assessing shunt performance.

Main Results:

  • Established typical values for Pb, Rcsf, AMP, and slow vasogenic waves to differentiate shunt-responsive normal pressure hydrocephalus and acute hydrocephalus from brain atrophy.
  • Developed a standardized approach using these variables to distinguish properly functioning shunts from those with underdrainage or overdrainage.
  • Demonstrated the effectiveness of quantitative CSF dynamics in clinical assessment.

Conclusions:

  • Quantitative CSF dynamics parameters effectively differentiate between shunt-responsive hydrocephalus and brain atrophy.
  • These parameters enable the detection of shunt malfunction, including partial/complete blockage and overdrainage.
  • This study provides an updated understanding of quantitative CSF dynamics testing for clinical application.
Abstract

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