Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/2B688FC3-3D04-4B35-A9F2-A495FAA4C66F | - |
| Αναγνωριστικό | https://doi.org/10.1007/s11517-018-1809-0 | - |
| Αναγνωριστικό | https://link.springer.com/article/10.1007/s11517-018-1809-0 | - |
| Γλώσσα | en | - |
| Μέγεθος | 15 pages | en |
| Τίτλος | Glioma growth modeling based on the effect of vital nutrients and metabolic products | en |
| Δημιουργός | Papadogiorgaki Maria | en |
| Δημιουργός | Παπαδογιωργακη Μαρια | el |
| Δημιουργός | Koliou Panagiotis | en |
| Δημιουργός | Zervakis Michail | en |
| Δημιουργός | Ζερβακης Μιχαηλ | el |
| Εκδότης | Springer Nature [academic journals on nature.com] | en |
| Περίληψη | Glioma brain tumors exhibit considerably aggressive behavior leading to high mortality rates. Mathematical modeling of tumor growth aims to explore the interactions between glioma cells and tissue microenvironment, which affect tumor evolution. Leveraging this concept, we present a three-dimensional model of glioma spatio-temporal evolution based on existing continuum approaches, yet incorporating novel factors of the phenomenon. The proposed model involves the interactions between different tumor cell phenotypes and their microenvironment, investigating how tumor growth is affected by complex biological exchanges. It focuses on the separate and combined effect of vital nutrients and cellular wastes on tumor expansion, leading to the formation of cell populations with different metabolic, proliferative, and diffusive profiles. Several simulations were performed on a virtual and a real glioma, using combinations of proliferation and diffusion rates for different evolution times. The model results were validated on a glioma model available in the literature and a real case of tumor progression. The experimental observations indicate that our model estimates quite satisfactorily the expansion of each region and the overall tumor growth. Based on the individual results, the proposed model may provide an important research tool for patient-specific simulation of different tumor evolution scenarios and reliable estimation of glioma evolution. [Figure not available: see fulltext.]. | 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 | 2019-06-04 | - |
| Ημερομηνία Δημοσίευσης | 2018 | - |
| Θεματική Κατηγορία | Diffusion coefficient | en |
| Θεματική Κατηγορία | Glioma tumor modeling | en |
| Θεματική Κατηγορία | Metabolic wastes | en |
| Θεματική Κατηγορία | Proliferation rate | en |
| Θεματική Κατηγορία | Vital nutrients | en |
| Βιβλιογραφική Αναφορά | M. Papadogiorgaki, P. Koliou and M. E. Zervakis, "Glioma growth modeling based on the effect of vital nutrients and metabolic products," Med. Biol. Eng. Comput., vol. 56, no. 9, pp. 1683-1697, Sept. 2018. doi: 10.1007/s11517-018-1809-0 | en |
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