Two-dimensional modeling of Glioblastoma Multiforme using Metropolis Monte Carlo method

  • Jann Kristianne Everbelle Casem Garcia Department of Physical Sciences and Mathematics, University of the Philippines Manila
  • Kayla Joezette Naorbe Sabigan Department of Physical Sciences and Mathematics, University of the Philippines Manila
  • Rhenish Capariño Simon Department of Physical Sciences and Mathematics, University of the Philippines Manila

Abstract

Glioblastoma multiforme (GBM) is the most aggressive malignant glial tumor. A two-dimensional model of GBM was developed using Metropolis Monte Carlo algorithm to replicate the idealized Gompertzian curve. Using a two-dimensional model in modeling tumor growth poses various advantages such as efficient machine computing performance. The simulated tumor resembled a circular mass with rough edges. The average total area of the 3 test runs made was 4340 square units after 50,000 iterations. This model demonstrates the growth of a solid tumor as a function of time. Thus, further strengthening the use of Gompertz function in the analysis of tumor growth.

Published
2019-05-23
How to Cite
[1]
J. K. E. Garcia, K. J. Sabigan, and R. Simon. Two-dimensional modeling of Glioblastoma Multiforme using Metropolis Monte Carlo method, Proceedings of the Samahang Pisika ng Pilipinas 37, SPP-2019-PB-49 (2019). URL: https://paperview.spp-online.org/proceedings/article/view/SPP-2019-PB-49.