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

Authors

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