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Methods to assess CSF dynamics and the mechanical properties of the cerebral mantel in hydrocephalus

Methods to assess CSF dynamics and the mechanical properties of the cerebral mantel in hydrocephalus
Methods to assess CSF dynamics and the mechanical properties of the cerebral mantel in hydrocephalus

This thesis describes the use of modern engineering and computation techniques to investigate the complex biomechanical relationships between the main cerebral components in normal pressure hydrocephalus and other complex disorders of cerebrospinal fluid (CSF) circulation.

CSF infusion tests and overnight intracranial pressure (ICP) monitoring were combined with simultaneous transcranial Doppler ultrasongoraphy (TCD) to investigate the relationship between CSF dynamics and cerebral haemodynamics. ICP increased induced during CSF infusion studies, provoked an increase in the pulsatility of the haemodynamic waveform. As the increase was significantly greater in patients with increased resistance to CSF outflow TCD may be used to enhance or replace ICP monitoring during CSF infusion studies. Overnight ICP and TCD monitoring demonstrated that haemodynamic fluctuations are the driver for hydrodynamic B waves seen in some hydrocephalic patients during sleep. This study also demonstrated that the transmission of haemodynamic fluctuation to the CSF is dependent on changes in compliance of the cerebral mantle.

The relationship between increased CSF volume and the properties of the cerebral mantle was explored using image analysis and mathematical modeling. An innovative technique was developed for the quantitative assessment of hyperintensities on magnetic resonance images. The results from this study demonstrated that patients with minimal disruption to the brain tissue are more likely to improve with insertion of a CSF shunt. A finite element model was established to investigate the stress-strain relationship in the brain tissue as CSF volume increases.

University of Southampton
Whitehouse, Helen Eleri
57e21bcc-e467-442d-9dbe-ae476d09ae14
Whitehouse, Helen Eleri
57e21bcc-e467-442d-9dbe-ae476d09ae14

Whitehouse, Helen Eleri (1999) Methods to assess CSF dynamics and the mechanical properties of the cerebral mantel in hydrocephalus. University of Southampton, Doctoral Thesis.

Record type: Thesis (Doctoral)

Abstract

This thesis describes the use of modern engineering and computation techniques to investigate the complex biomechanical relationships between the main cerebral components in normal pressure hydrocephalus and other complex disorders of cerebrospinal fluid (CSF) circulation.

CSF infusion tests and overnight intracranial pressure (ICP) monitoring were combined with simultaneous transcranial Doppler ultrasongoraphy (TCD) to investigate the relationship between CSF dynamics and cerebral haemodynamics. ICP increased induced during CSF infusion studies, provoked an increase in the pulsatility of the haemodynamic waveform. As the increase was significantly greater in patients with increased resistance to CSF outflow TCD may be used to enhance or replace ICP monitoring during CSF infusion studies. Overnight ICP and TCD monitoring demonstrated that haemodynamic fluctuations are the driver for hydrodynamic B waves seen in some hydrocephalic patients during sleep. This study also demonstrated that the transmission of haemodynamic fluctuation to the CSF is dependent on changes in compliance of the cerebral mantle.

The relationship between increased CSF volume and the properties of the cerebral mantle was explored using image analysis and mathematical modeling. An innovative technique was developed for the quantitative assessment of hyperintensities on magnetic resonance images. The results from this study demonstrated that patients with minimal disruption to the brain tissue are more likely to improve with insertion of a CSF shunt. A finite element model was established to investigate the stress-strain relationship in the brain tissue as CSF volume increases.

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Published date: 1999

Identifiers

Local EPrints ID: 467030
URI: http://eprints.soton.ac.uk/id/eprint/467030
PURE UUID: e670a002-efc9-41f5-b972-a0f2efa3c851

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Date deposited: 05 Jul 2022 08:09
Last modified: 16 Mar 2024 20:56

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Contributors

Author: Helen Eleri Whitehouse

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