Name
Abstract | ||
|---|---|---|
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, Luján 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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.cpc.2019.05.005 | Computer Physics Communications |
Keywords | DocType | Volume |
Tumor growth models,Reaction–diffusion equations,Shared memory parallelization | Journal | 243 |
ISSN | Citations | PageRank |
0010-4655 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emmanuel Luján | 1 | 1 | 0.69 |
| M. S. Rosito | 2 | 0 | 0.34 |
| Alejandro Soba | 3 | 5 | 4.59 |
| Cecilia Suárez | 4 | 0 | 0.68 |