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Glioma growth modeling based on the effect of vital nutrients and metabolic products

Papadogiorgaki Maria, Koliou Panagiotis, Zervakis Michail

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/2B688FC3-3D04-4B35-A9F2-A495FAA4C66F-
Αναγνωριστικόhttps://doi.org/10.1007/s11517-018-1809-0-
Αναγνωριστικόhttps://link.springer.com/article/10.1007/s11517-018-1809-0-
Γλώσσαen-
Μέγεθος15 pagesen
ΤίτλοςGlioma growth modeling based on the effect of vital nutrients and metabolic productsen
ΔημιουργόςPapadogiorgaki Mariaen
ΔημιουργόςΠαπαδογιωργακη Μαριαel
ΔημιουργόςKoliou Panagiotisen
ΔημιουργόςZervakis Michailen
ΔημιουργόςΖερβακης Μιχαηλel
ΕκδότηςSpringer Nature [academic journals on nature.com]en
ΠερίληψηGlioma 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
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2019-06-04-
Ημερομηνία Δημοσίευσης2018-
Θεματική ΚατηγορίαDiffusion coefficienten
Θεματική ΚατηγορίαGlioma tumor modelingen
Θεματική ΚατηγορίαMetabolic wastesen
Θεματική ΚατηγορίαProliferation rateen
Θεματική ΚατηγορίαVital nutrientsen
Βιβλιογραφική ΑναφοράM. 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/s11517-018-1809-0en

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