Directional entropy based model for diffusivity-driven tumor growth

In this work, we present and investigate a multiscale model to simulate 3D growth of glioblastomas (GBMs) that incorporates features of the tumor microenvironment and derives macroscopic growth laws from microscopic tissue structure information. We propose a normalized version of the Shannon entropy...

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Main Authors: Marcelo E. de Oliveira, Luiz M. G. Neto
Format: Article
Language:English
Published: AIMS Press 2015-11-01
Series:Mathematical Biosciences and Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2015005
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author Marcelo E. de Oliveira
Luiz M. G. Neto
author_facet Marcelo E. de Oliveira
Luiz M. G. Neto
author_sort Marcelo E. de Oliveira
collection DOAJ
description In this work, we present and investigate a multiscale model to simulate 3D growth of glioblastomas (GBMs) that incorporates features of the tumor microenvironment and derives macroscopic growth laws from microscopic tissue structure information. We propose a normalized version of the Shannon entropy as an alternative measure of the directional anisotropy for an estimation of the diffusivity tensor in cases where the latter is unknown. In our formulation, the tumor aggressiveness and morphological behavior is tissue-type dependent, i.e. alterations in white and gray matter regions (which can e.g. be induced by normal aging in healthy individuals or neurodegenerative diseases) affect both tumor growth rates and their morphology.The feasibility of this new conceptual approach is supported by previous observations that the fractal dimension, which correlates with the Shannon entropy we calculate, is a quantitative parameter that characterizes the variability of brain tissue, thus, justifying the further evaluation of this new conceptual approach.
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spelling doaj-art-09afe4bcbc1549b8b276aa4dcf72176a2025-01-24T02:35:04ZengAIMS PressMathematical Biosciences and Engineering1551-00182015-11-0113233334110.3934/mbe.2015005Directional entropy based model for diffusivity-driven tumor growthMarcelo E. de Oliveira0Luiz M. G. Neto1Robotic Systems Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, CH-1015Department of Mechanical Engineering, Engineering College of Sorocaba (FACENS), São Paulo, 18087-125In this work, we present and investigate a multiscale model to simulate 3D growth of glioblastomas (GBMs) that incorporates features of the tumor microenvironment and derives macroscopic growth laws from microscopic tissue structure information. We propose a normalized version of the Shannon entropy as an alternative measure of the directional anisotropy for an estimation of the diffusivity tensor in cases where the latter is unknown. In our formulation, the tumor aggressiveness and morphological behavior is tissue-type dependent, i.e. alterations in white and gray matter regions (which can e.g. be induced by normal aging in healthy individuals or neurodegenerative diseases) affect both tumor growth rates and their morphology.The feasibility of this new conceptual approach is supported by previous observations that the fractal dimension, which correlates with the Shannon entropy we calculate, is a quantitative parameter that characterizes the variability of brain tissue, thus, justifying the further evaluation of this new conceptual approach.https://www.aimspress.com/article/doi/10.3934/mbe.2015005fractal dimension.glioblastomasdiffusivity tensorshannon entropy
spellingShingle Marcelo E. de Oliveira
Luiz M. G. Neto
Directional entropy based model for diffusivity-driven tumor growth
Mathematical Biosciences and Engineering
fractal dimension.
glioblastomas
diffusivity tensor
shannon entropy
title Directional entropy based model for diffusivity-driven tumor growth
title_full Directional entropy based model for diffusivity-driven tumor growth
title_fullStr Directional entropy based model for diffusivity-driven tumor growth
title_full_unstemmed Directional entropy based model for diffusivity-driven tumor growth
title_short Directional entropy based model for diffusivity-driven tumor growth
title_sort directional entropy based model for diffusivity driven tumor growth
topic fractal dimension.
glioblastomas
diffusivity tensor
shannon entropy
url https://www.aimspress.com/article/doi/10.3934/mbe.2015005
work_keys_str_mv AT marceloedeoliveira directionalentropybasedmodelfordiffusivitydriventumorgrowth
AT luizmgneto directionalentropybasedmodelfordiffusivitydriventumorgrowth