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Imaging-informed BIOmechanical brain tumor forecast MOdelling
Abbad Andaloussi, Meryem; Husch, Andreas; Urcun, Stephane et al.
2022European Congres on COmputational Methods in Applied Sciences and engineering (ECCOMAS)
 

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Keywords :
Malignant transformation; Low Grade Glioma; Low Grade Astrocytoma; Medical Resonance Imaging; Patient-specific Tumor Growth Model
Abstract :
[en] Grade 3 and 4 Astrocytomas are high grade gliomas (HGG) that usually result from initially less aggressive low grade gliomas (LGG) through malignant transformation (MT). This process has various definitions in the literature, clinical and histopathological, depending on the scale of the study and researchers' interest. We introduce an overview of different aspects of MT: molecular, clinical and the role of the microenvironment in acquiring the malignant phenotype. Furthermore, we introduce a new hypothesis that could explain the spatial progression of low grade astrocytoma (LGA) during MT. The former hypothesis will next be tested on LGA patients through tumor segmentation from Medical Resonance Images (MRI) and a mechanistic growth model.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Abbad Andaloussi, Meryem ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Interventional Neuroscience
Husch, Andreas  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Interventional Neuroscience
Urcun, Stephane ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Bordas, Stéphane ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
External co-authors :
no
Language :
English
Title :
Imaging-informed BIOmechanical brain tumor forecast MOdelling
Publication date :
06 June 2022
Event name :
European Congres on COmputational Methods in Applied Sciences and engineering (ECCOMAS)
Event organizer :
NTNU, SINTEF, NOACM, ECCOMAS, Visit Oslo
Event place :
Oslo, Norway
Event date :
from 05-06-2022 to 09-06-2022
Audience :
International
Focus Area :
Computational Sciences
Name of the research project :
IBIOMO
Funders :
Institute of Advanced Studies
Available on ORBilu :
since 07 November 2022

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