[HTML][HTML] Tumor cell invasion in glioblastoma

A Vollmann-Zwerenz, V Leidgens, G Feliciello… - International journal of …, 2020 - mdpi.com
Glioblastoma (GBM) is a particularly devastating tumor with a median survival of about 16
months. Recent research has revealed novel insights into the outstanding heterogeneity of …

[HTML][HTML] In silico mathematical modelling for glioblastoma: A critical review and a patient-specific case

J Falco, A Agosti, IG Vetrano, A Bizzi, F Restelli… - Journal of clinical …, 2021 - mdpi.com
Glioblastoma extensively infiltrates the brain; despite surgery and aggressive therapies, the
prognosis is poor. A multidisciplinary approach combining mathematical, clinical and …

The role of computational methods for automating and improving clinical target volume definition

J Unkelbach, T Bortfeld, CE Cardenas… - Radiotherapy and …, 2020 - Elsevier
Abstract Treatment planning in radiotherapy distinguishes three target volume concepts: the
gross tumor volume (GTV), the clinical target volume (CTV), and the planning target volume …

[HTML][HTML] Predicting cell behaviour parameters from glioblastoma on a chip images. A deep learning approach

M Pérez-Aliacar, MH Doweidar, M Doblaré… - Computers in Biology …, 2021 - Elsevier
The broad possibilities offered by microfluidic devices in relation to massive data monitoring
and acquisition open the door to the use of deep learning technologies in a very promising …

[HTML][HTML] Integrating in vitro experiments with in silico approaches for Glioblastoma invasion: the role of cell-to-cell adhesion heterogeneity

ME Oraiopoulou, E Tzamali, G Tzedakis, E Liapis… - Scientific reports, 2018 - nature.com
Glioblastoma cells adopt migration strategies to invade into the brain parenchyma ranging
from individual to collective mechanisms, whose role and dynamics are not yet fully …

Current Advances in the Use of Tissue Engineering for Cancer Metastasis Therapeutics

PD Katti, H Jasuja - Polymers, 2024 - mdpi.com
Cancer is a leading cause of death worldwide and results in nearly 10 million deaths each
year. The global economic burden of cancer from 2020 to 2050 is estimated to be USD 25.2 …

A Glioblastoma PDE-ODE model including chemotaxis and vasculature

A Fernández-Romero, F Guillén-González… - ESAIM: Mathematical …, 2022 - esaim-m2an.org
In this work we analyse a PDE-ODE problem modelling the evolution of a Glioblastoma,
which includes chemotaxis term directed to vasculature. First, we obtain some a priori …

[HTML][HTML] Biomarcadores moleculares de doenças humanas: conceitos fundamentais, modelos de estudo e aplicações clínicas

HR Zamora-Obando, AT Godoy, AG Amaral… - Química …, 2022 - SciELO Brasil
Molecular biomarkers correspond to all endogenous or exogenous biomolecules, whose
presence or alteration in metabolic pathways indicate the response of a biological system to …

An adaptive semi‐implicit finite element solver for brain cancer progression modeling

K Tzirakis, CP Papanikas, V Sakkalis… - International Journal …, 2023 - Wiley Online Library
Glioblastoma is the most aggressive and infiltrative glioma, classified as Grade IV, with the
poorest survival rate among patients. Accurate and rigorously tested mechanistic in silico …

[HTML][HTML] Inducing biomechanical heterogeneity in brain tumor modeling by MR elastography: effects on tumor growth, vascular density and delivery of therapeutics

C Harkos, SF Svensson, KE Emblem, T Stylianopoulos - Cancers, 2022 - mdpi.com
Simple Summary Biomechanical forces aggravate brain tumor progression. In this study,
magnetic resonance elastography (MRE) is employed to extract tissue biomechanical …