| Abstrakt: |
Adenocarcinomas are solid tumors that begins in the duct architecture of the endocrine glands in human body, constituting some of the most frequent tumors (breast or prostate), with high morbidity and mortality, and treatment costs in constant growth for public health systems. This work starts from a mathematical model known and contrasted in the literature for breast adenocarcinoma in situ (DCIS), and aims to perform the implementation with a 3D cellular automata and parallel processing, to help a better understanding of the pathogenesis of the disease. We describe the biology of this class of tumors and the parallel implementation methodology used, which employs parallelism of data, locks on access to data shared between tasks, and dynamic management of the simulated tissue domain. The results obtained by running the proposed parallel simulation are discussed in terms of their consistency with the histological reality of the real tumor, with the kinetics of Gompertz´s function for tumor growth, and with the statistical distribution of tumor cells in a mammary duct with disease in situ, with reasonable times and speedups. The conclusions establish the achievement of the proposed objective, compare the approach developed with other similar ones already published, and establish our future work. [ABSTRACT FROM AUTHOR] |
