A computational model of glioma reveals opposing, stiffness-sensitive effects of leaky vasculature and tumor growth on tissue mechanical stress and porosity

A biphasic computational model of a growing, vascularized glioma within brain tissue was developed to account for unique features of gliomas, including soft surrounding brain tissue, their low stiffness relative to brain tissue, and a lack of draining lymphatics. This model is the first to couple no...

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Bibliographic Details
Main Authors:	Ewing, J.R (Author), Rey, J.A (Author), Sarntinoranont, M. (Author)
Format:	Article
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2021
Subjects:	animal Animals Antiangiogenesis antiangiogenic therapy Article biological model Biphasic theory brain Brain Brain Neoplasms brain tissue brain tumor cancer infiltration cancer radiotherapy comparative study compression compressive strength Compressive Strength Compressive stress Computation theory Computational methods Computational model computer model computer simulation Computer Simulation Deformation Effective stiffness extracellular fluid Extracellular Fluid finite element analysis glioma Glioma human Humans hydraulic conductivity Hydraulic conductivity in vivo study Interstitial fluid pressures lymph Lymph lymphatic system mathematical model Mechanical interactions Mechanical model mechanical stress Mechanical stress mechanics Microenvironments Models, Biological Models, Theoretical pathophysiology physiology Poroelasticity porosity Porosity Porous media pressure Pressure rigidity simulation Stiffness Stress, Mechanical tensile strength Tensile Strength theoretical model Tissue deformations Tissue engineering tissue pressure tumor growth tumor microenvironment Tumor Microenvironment tumor vascularization Tumors Unique features
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A computational model of glioma reveals opposing, stiffness-sensitive effects of leaky vasculature and tumor growth on tissue mechanical stress and porosity

Internet

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