Journal
COMPUTER PHYSICS COMMUNICATIONS
Volume 243, Issue -, Pages 97-105Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.cpc.2019.05.005
Keywords
Tumor growth models; Reaction-diffusion equations; Shared memory parallelization
Funding
- Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET)
- University of Buenos Aires, Argentina
- CONICET
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In recent years, in-silico experimentation within the field of oncological medicine has been intensively investigated with the aim of better understanding tumor dynamics and dose-response relationships in cancer treatments. In a series of previous works, Lujan et al. (2018, 2017, 2016)we described the micro-environmental influence on micro-tumor infiltration patterns through in-silico/in-vitro experimentation. Here we present the latest version of the software utilized for, but not limited to, those studies: LibreGrowth, a libre tumor growth code able to simulate the core growth and peripheral tumor cell infiltration, considering a benign and a malignant stages. We implemented a reaction-diffusion based model, with spatially variable diffusion coefficient, into a three-dimensional domain, using C++ and OpenMP over a GNU/Linux system. LibreGrowth aims to provide a flexible implementation for depicting heterogeneous tissues and infiltration processes, and to shed light in current therapy optimization strategies. (C) 2019 Elsevier B.V. All rights reserved.
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