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A computational fluid dynamics approach to determine white matter permeability
File | Description | Size | Format | |
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Vidotto2019_Article_AComputationalFluidDynamicsApp.pdf | Published version | 3.04 MB | Adobe PDF | View/Open |
Title: | A computational fluid dynamics approach to determine white matter permeability |
Authors: | Vidotto, M Botnariuc, D De Momi, E Dini, D |
Item Type: | Journal Article |
Abstract: | Glioblastomas represent a challenging problem with an extremely poor survival rate. Since these tumour cells have a highly invasive character, an effective surgical resection as well as chemotherapy and radiotherapy is very difficult. Convection-enhanced delivery (CED), a technique that consists in the injection of a therapeutic agent directly into the parenchyma, has shown encouraging results. Its efficacy depends on the ability to predict, in the pre-operative phase, the distribution of the drug inside the tumour. This paper proposes a method to compute a fundamental parameter for CED modelling outcomes, the hydraulic permeability, in three brain structures. Therefore, a bidimensional brain-like structure was built out of the main geometrical features of the white matter: axon diameter distribution extrapolated from electron microscopy images, extracellular space (ECS) volume fraction and ECS width. The axons were randomly allocated inside a defined border, and the ECS volume fraction as well as the ECS width maintained in a physiological range. To achieve this result, an outward packing method coupled with a disc shrinking technique was implemented. The fluid flow through the axons was computed by solving Navier–Stokes equations within the computational fluid dynamics solver ANSYS. From the fluid and pressure fields, an homogenisation technique allowed establishing the optimal representative volume element (RVE) size. The hydraulic permeability computed on the RVE was found in good agreement with experimental data from the literature. |
Issue Date: | Aug-2019 |
Date of Acceptance: | 11-Feb-2019 |
URI: | http://hdl.handle.net/10044/1/68057 |
DOI: | https://dx.doi.org/10.1007/s10237-019-01131-7 |
ISSN: | 1617-7940 |
Publisher: | Springer (part of Springer Nature) |
Start Page: | 1111 |
End Page: | 1122 |
Journal / Book Title: | Biomechanics and Modeling in Mechanobiology |
Volume: | 4 |
Issue: | 4 |
Copyright Statement: | © The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, a link is provided to the Creative Commons license and any changes made are indicated. |
Sponsor/Funder: | Engineering & Physical Science Research Council (EPSRC) |
Funder's Grant Number: | EP/N025954/1 |
Keywords: | Science & Technology Life Sciences & Biomedicine Technology Biophysics Engineering, Biomedical Engineering Convection-enhanced delivery Hydraulic permeability Representative volume element White matter REPRESENTATIVE VOLUME ELEMENT CONVECTION-ENHANCED DELIVERY BRAIN EXTRACELLULAR-SPACE INTERSTITIAL TRANSPORT HYDRAULIC CONDUCTIVITY SOLUTE TRANSPORT DIRECT INFUSION DRUG-DELIVERY MODEL DIFFUSION Convection-enhanced delivery Hydraulic permeability Representative volume element White matter Biomedical Engineering 0913 Mechanical Engineering 0903 Biomedical Engineering |
Publication Status: | Published |
Online Publication Date: | 2019-02-20 |
Appears in Collections: | Mechanical Engineering Faculty of Natural Sciences Faculty of Engineering |