title: Exploring the efficacy of endoscopic ventriculostomy for hydrocephalus treatment via a multicompartmental poroelastic model of CSF transport: a computational perspective.
abstract: This study proposes the implementation of a Multiple-Network Poroelastic Theory (MPET) model coupled with finite-volume computational fluid dynamics for the purpose of studying, in detail, the effects of obstructing CSF transport within an anatomically accurate cerebral environment. The MPET representation allows the investigation of fluid transport between CSF, brain parenchyma and cerebral blood, in an integral and comprehensive manner. A key novelty in the model is the amalgamation of anatomically accurate choroid plexuses with their feeding arteries and a simple relationship relaxing the constraint of a unique permeability for the CSF compartment. This was done in order to account for the Aquaporin-4-mediated swelling characteristics. The aim of this varying permeability compartment was to bring to light a feedback mechanism that could counteract the effects of ventricular dilation and subsequent elevations of CSF pressure through the efflux of excess CSF into the blood system. This model is used to demonstrate the impact of aqueductal stenosis and fourth ventricle outlet obstruction (FVOO). The implications of treating such a clinical condition with the aid of endoscopic third (ETV) and endoscopic fourth (EFV) ventriculostomy are considered. We observed peak CSF velocities in the aqueduct of the order of 15.6 cm/s in the healthy case, 45.4 cm/s and 72.8 cm/s for the mild and severe cases respectively. The application of ETV reduced the aqueductal velocity to levels around 16-17 cm/s. Ventricular displacement, CSF pressure, wall shear stress (WSS) and pressure difference between lateral and fourth ventricles (ΔP) increased with applied stenosis, and subsequently dropped to nominal levels with the application of ETV. The greatest reversal of the effects of atresia come by opting for ETV rather than the more complicated procedure of EFV.
authors.affiliation: Institute of Biomedical Engineering and Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
authors.forename: John C
authors.initials: JC
authors.lastname: Vardakis
authors.affiliation: Oxyntix Ltd., Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
authors.forename: Brett J
authors.initials: BJ
authors.lastname: Tully
authors.affiliation: Department of Mechanical Engineering, University College London, Torrington Place, London, United Kingdom.
authors.forename: Yiannis
authors.initials: Y
authors.lastname: Ventikos
mesh_terms: D001692:Biological Transport / Q000502:physiology; D002555:Cerebrospinal Fluid / Q000502:physiology*; D002831:Choroid Plexus / Q000033:anatomy & histology; D019295:Computational Biology / Q000379:methods*; D004724:Endoscopy / Q000379:methods*; D006801:Humans; D006849:Hydrocephalus / Q000601:surgery*; D057446:Hydrodynamics; D008954:Models, Biological; D011312:Pressure; D016896:Treatment Outcome; D014696:Ventriculostomy / Q000379:methods*