Loading...
Loading...

Go to the content (press return)

In vivo simulation of the effect of hypoxia and drug dosis in glioblastoma growth

Total activity: 1
Type of activity
Competitive project
Acronym
GBL_3DGROWTH
Funding entity
AGENCIA ESTATAL DE INVESTIGACION
Funding entity code
PGC2018-097257-B-C33
Amount
60.500,00 €
Start date
2019-01-01
End date
2021-12-31
Keywords
adaptación de mallas, adaptive computing, cálculo adaptativo, drug resistance, error estimation, estimación del error, generación de mallas, glioblastoma, hipoxia, hypoxia, mesh adaption, mesh generation, modelado multi-físico, multi-physic modelling, resistencia a fármacos
Abstract
One of the basic aspects to understand the growth of a tumor such as Glioblastoma multiforme (GBM) is the development of models not
only qualitative, but also quantitative of their behaviour. To do this, it is necessary to consider constitutive laws that include, on the one
hand, the evolution of cell proliferation, death and migration by mechanotaxis and chemotaxis, and on the other hand, consider the
dependence of state variables on aspects that have been shown to be highly relevant, such as concentration, gradient and temporal
variation of oxygen, glucose and TMZ. Therefore, the fundamental objective of this subproject is the development and implementation of a
3D numerical model capable of quantifying the evolution of GBM in a human brain in vivo, including its location and its growth due to the
oxygen surge and its possible decrease due to the supply of drugs and radiation treatments. The effects of this dependence will be
described through a coupled system of transient partial differential equations and the development of constitutive laws (the identification of
their parameters will be done jointly with the other two subprojects).
To achieve this goal, a methodology will be developed based on: (1) the development of a mathematical model that considers the transient
spreading of the GMB coupled through a non-linear term with a set of equations that takes into account the diffusing behaviour inside the
heterogeneous and anisotropic brain tissue of the chemical species (oxygen, drugs, ) and the reaction in font of radiation treatment; (2) the
development and implementation of the numerical model that accurately describes the non-linear coupling of the two transient set of
equations, one corresponding to the tumour growth and another for each chemical specimen; (3) the development of a procedure to
generate the tumour geometry from medical images and generate its discretization with unstructured meshes; (4) the adaptive numerical
technology needed to numerically follow the large displacements of the tumour boundary due to the tumour growth; and (5) the
comparison of the obtained results with real images.
Finally, it should be noted that the methodology and technology proposed in this project represents a fundamental change in the
knowledge and numerical simulation of tumor growth. Due to the impact and the social and economic consequences that the development
of this knowledge has, we considered that it is not sufficient to have qualitative models and that it is essential to develop quantitative
models based on both the mechanical behaviour of the tumour and its chemical species and received radiation. This is precisely the
leitmotiv that drives the present project.
Scope
Adm. Estat
Plan
Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020
Call year
2019
Funcding program
Programa Estatal de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I+D+i
Funding subprogram
Subprograma Estatal de Generación de Conocimiento
Funding call
Proyectos de I+D de generación de conocimiento (antigues EXC)
Grant institution
Agencia Estatal De Investigacion

Participants

Scientific and technological production

1 to 1 of 1 results