In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case

In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case

Glioblastoma extensively infiltrates the brain; despite surgery and aggressive therapies, the prognosis is poor. A multidisciplinary approach combining mathematical, clinical and radiological data has the potential to foster our understanding of glioblastoma evolution in every single patient, with t...

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Bibliographic Details
Main Authors: Jacopo Falco, Abramo Agosti, Ignazio G. Vetrano, Alberto Bizzi, Francesco Restelli, Morgan Broggi, Marco Schiariti, Francesco DiMeco, Paolo Ferroli, Pasquale Ciarletta, Francesco Acerbi
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Journal of Clinical Medicine
Subjects:
biomathematics
cancer modelling
diffusion tensor imaging
glioblastoma
in silico
personalized neuro-oncology
Online Access:https://www.mdpi.com/2077-0383/10/10/2169

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