publication . Conference object . Other literature type . 2017

TOWARDS A FRAMEWORK FOR PREDICTIVE MATHEMATICAL MODELING OF THE BIOMECHANICAL FORCES CAUSING BRAIN TUMOR MASS-EFFECT

Abler, Daniel; Rockne, Russell; Büchler, Philippe;
Open Access English
  • Published: 06 Nov 2017
Abstract
<p>GBMs present with different growth phenotypes, ranging from invasive lesions without notable mass-effect to strongly displacing lesions that induce mechanical stresses and result in healthy-tissue deformation, midline shift or herniation. Biomechanical forces, such as those resulting from displacive tumor growth, are recognized to shape the tumor environment and to contribute to tumor progression. We therefore expect that biomechanical forces exerted by lesions on the brain parenchyma have implications on the biophysical level, and that they may affect treatment response and outcome. To better understand the role of biomechanics in the formation of different ...
Subjects
free text keywords: Biophysics, Medicine, Developmental Biology, Cancer, Biological Sciences not elsewhere classified, Physical Sciences not elsewhere classified, literature-based parameter estimates, tumor cell migration, account tissue anisotropies, tumor cell proliferation, GBM phenotypes, MR-DTI, tumor cell concentration, FRAMEWORK, brain tissue, tumor-healthy tissue interaction, PREDICTIVE MATHEMATICAL MODELING, displacive tumor growth, BIOMECHANICAL FORCES CAUSING BRAIN TUMOR MASS-EFFECT GBMs, TOWARDS, GBM imaging data, mechanically-coupled reaction-diffusion model, MRI diffusion tensor imaging
Related Organizations
Funded by
EC| GlimS
Project
GlimS
Patient-specific tumour growth model for quantification of mechanical 'markers' in malignant gliomas: Implications for treatment outcomes.
  • Funder: European Commission (EC)
  • Project Code: 753878
  • Funding stream: H2020 | MSCA-IF-GF
,
EC| CHIC
Project
CHIC
Computational Horizons In Cancer (CHIC): Developing Meta- and Hyper-Multiscale Models and Repositories for In Silico Oncology
  • Funder: European Commission (EC)
  • Project Code: 600841
  • Funding stream: FP7 | SP1 | ICT
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Other literature type . 2017
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