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Visualization and modeling of cancer progression

Maria Papadogiorgaki, Zervakis Michalis

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/7BF862A2-2E36-4C22-B6DC-3A292D45E08D-
Αναγνωριστικόhttps://doi.org/10.1109/IST.2013.6729672-
Γλώσσαen-
Μέγεθος6 pagesel
ΤίτλοςVisualization and modeling of cancer progressionen
ΔημιουργόςMaria Papadogiorgakien
ΔημιουργόςZervakis Michalisen
ΔημιουργόςΖερβακης Μιχαληςel
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηCancer mathematical modeling constitutes an emerging area of research aiming to predict tumors spatial and temporal evolution. Several mathematical and computational models have appeared in the literature addressing the mechanisms that govern tumor progression and invasion. Modeling techniques are initialized based either on the actual tumor geometries derived from imaging modalities (such as serial MRIs), or on virtual tumor approximation. Cancer modeling is performed using various tissue modeling and evolution techniques, which are generally classified as continuum, discrete and hybrid methods. This paper aims to present a comprehensive overview of tumor modeling approaches and based on significant trends to propose a continuum mathematical model of avascular glioma spatiotemporal evolution. This model takes under consideration the oxygen concentration inside the tumor and its surroundings, which is engaged in tumor-cell survival, proliferation and invasion. The tumor area is divided into layers that form proliferating, hypoxic and necrotic regions of tumor cells. The simulation results for different evolution times demonstrate that the proposed model may provide an essential framework for a patient-specific simulation tool towards the reliable prediction of glioma spatiotemporal progression.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-25-
Ημερομηνία Δημοσίευσης2013-
Θεματική ΚατηγορίαBasic medical sciencesen
Θεματική ΚατηγορίαBasic sciences, Medicalen
Θεματική ΚατηγορίαBiomedical sciencesen
Θεματική ΚατηγορίαHealth sciencesen
Θεματική ΚατηγορίαPreclinical sciencesen
Θεματική ΚατηγορίαSciences, Medicalen
Θεματική Κατηγορίαmedical sciencesen
Θεματική Κατηγορίαbasic medical sciencesen
Θεματική Κατηγορίαbasic sciences medicalen
Θεματική Κατηγορίαbiomedical sciencesen
Θεματική Κατηγορίαhealth sciencesen
Θεματική Κατηγορίαpreclinical sciencesen
Θεματική Κατηγορίαsciences medicalen
Βιβλιογραφική ΑναφοράM. Papadogiorgaki, M. Zervakis ,"Visualization and modeling of cancer progression",in 2013 Intern. Conf. on Imaging Systems and Tech.(IST), pp.106 - 111.doi:10.1109/IST.2013.6729672en

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