Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/391E8519-D54E-4D08-927B-18047B78DF9D | - |
| Αναγνωριστικό | https://doi.org/10.4236/jbise.2010.35070 | - |
| Γλώσσα | en | - |
| Μέγεθος | 8 pages | en |
| Τίτλος | Diffusive modelling of glioma evolution: a review | en |
| Δημιουργός | Zervakis Michalis | en |
| Δημιουργός | Ζερβακης Μιχαλης | el |
| Δημιουργός | Sakkalis, Vangelis | en |
| Δημιουργός | Kostas Marias | en |
| Δημιουργός | Alexandros Roniotis | en |
| Περίληψη | Gliomas, the most aggressive form of brain cancer, are known for their widespread invasion into the tis-sue near the tumor lesion. Exponential models, which have been widely used in other types of cancers, can-not be used for the simulation of tumor growth, due to the diffusive behavior of glioma. Diffusive models that have been proposed in the last two decades seem to better approximate the expansion of gliomas. This paper covers the history of glioma diffusive model-ling, starting from the simplified initial model in 90s and describing how this have been enriched to take into account heterogenous brain tissue, anisotropic migration of glioma cells and adjustable proliferation rates. Especially, adjustable proliferation rates are very important for modelling therapy plans and per-sonalising therapy to different patients | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-10-23 | - |
| Ημερομηνία Δημοσίευσης | 2010 | - |
| Θεματική Κατηγορία | Neuroscience | en |
| Βιβλιογραφική Αναφορά | A. Roniotis, K.Marias, V. Sakkalis, M. Zervakis,"Diffusive modelling of glioma evolution: a review,"J. Biom. Science and Eng., vol.3,no.5,pp. 501-508 ,2010.doi:10.4236/jbise.2010.35070 | en |
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