LibreGrowth: A tumor growth code based on reaction-diffusion equations using shared memory

EMMANUEL LUJÁN; MARIA SOL ROSITO; ALEJANDRO SOBA; CECILIA SUAREZ

COMPUTER PHYSICS COMMUNICATIONS

ELSEVIER SCIENCE BV

Lugar: Amsterdam; Año: 2019 vol. 243 p. 97 - 105

0010-4655

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 themicro-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.