ITM Web Conf.
Volume 31, 2020International Conference “Mathematical Modelling in Biomedicine” 2019
|Number of page(s)
|09 March 2020
Algorithm of optimization of fractionated radiotherapy within its combination with antiangiogenic therapy by means of mathematical modeling
1 Division of Theoretical Physics, P.N. Lebedev Physical Institute of the Russian Academy of Sciences, 53 Leninskii Prospekt, Moscow 119991, Russian Federation
2 Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation
∗ e-mail: firstname.lastname@example.org
Antiangiogenic therapy is the anti-tumor treatment, that leads to the cessation of blood vessels formation and subsequent nutrient deprivation of the tumor. One of its frequently occurring effects is the transient improvement of tumor oxygenation, which lasts several days and leads to increased efficiency of successive exposure to radiation. It is followed by an escalation of hypoxia, and therefore the addition of antiangiogenic therapy to the whole course of fractionated radiotherapy has an ambiguous effect. Previously we have developed a mathematical model of such combined anti-tumor treatment. Herein we present an algorithm of optimization of radiotherapy fractionation, which aim is to find the most optimal distribution of irradiation doses in order to increase the efficiency of such combined treatment. We demonstrate an example of its work and discuss its further application.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.