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

doi:10.1016/j.cpc.2019.05.005

2019-10-01

PRE

DOI：10.1016/j.cpc.2019.05.005

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摘要

En 中文

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.

Keyword:

Tumor growth models

Reaction-diffusion equations

Shared memory parallelization

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期刊

Computer Physics Communications

IF:

3.4

论文数:

1.2W

被引数:

3.7W

机构

University of Buenos Aires

学者数:

2.2W

论文数: 1.3W

被引数: 14

consejo nacional de investigaciones cientificas y tecnicas (conicet)

学者数:

4.0W

论文数: 2.6W

被引数: 26

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