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

Authors

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.

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Issue

2019: Proceedings of the 37th Samahang Pisika ng Pilipinas Physics Conference

Article ID

SPP-2019-PB-49

Section

Poster Session PB

Published

2019-05-23

How to Cite

[1]

JKEC Garcia, KJN Sabigan, and RC 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://proceedings.spp-online.org/article/view/SPP-2019-PB-49.