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Current Cancer Therapy Reviews

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ISSN (Print): 1573-3947
ISSN (Online): 1875-6301

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Research Article

A Model for Heterogeneous Brain Tumor Cells that Cause Dizziness

Author(s): Mohammad Farnush*

Volume 15, Issue 3, 2019

Page: [215 - 224] Pages: 10

DOI: 10.2174/1573394714666180907152741

Price: $65

Abstract

Background: Various models are used for brain tumors modeling. To our knowledge, no earlier work has been done on modeling the heterogeneous brain tumor that causes dizziness. However, specifying a cell using a model is not new. Unlike all earlier works in this regard, which consider analog or analog-CPU computers in the cell model, the model presented in this work fully utilizes processor computers.

Materials and Methods: The purpose of this study is to offer a comprehensive approach for heterogeneous modeling of brain tumor cells. The model uses a brain tumor cell in Matlab and Simulink 3D software. Two heterogeneous models are presented for brain tumor cells: the imagebased cell model and computer-generated cell model. The image-based cell model is obtained through the figure altering on X-ray or ocular figures by recognizing the dissimilar states in the tumors.

Results: The computer-generated cell model works based on locating computer produced aggregate cells into tumors. Some subdivisions for both the image-based and computer-generated cell models are presented as well.

Conclusion: The positive and negative points of the image-based cell models and computergenerated cell models some scientific advices are presented in this work. Generally, the imagebased cell models could offer analytical facts for each state, but they are expensive and timeconsuming; besides, their performance is heavily influenced by deformation techniques. The computer-generated cell model, on the other hand, provides a higher cost of production and simplicity, but its main contribution is the overall performance and accuracy.

Keywords: Model, heterogeneous, brain tumor cells, dizziness, concentrated tissues, FEM, DEM.

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[1]
Prothero J. Control of stem cell proliferation: A density-dependent commitment model. J Theor Biol 1980; 84: 725-36.
[2]
Tomezak M, Abbadie C, Lartigau E, Cleri F. A biophysical model of cell evolution after cytotoxic treatments: Damage, repair and cell response. J Theor Biol 2016; 389: 146-58.
[3]
Fleishman L, Crawford-Brown D, Hofmann W. A computational model for radiation-induced cellular transformation to in vitro irradiation of cells by acute doses of X-rays. Math Biosci 2008; 215: 186-92.
[4]
Richard M, Kirkby KJ, Webb RP, Kirkby NF. A mathematical model of response of cells to radiation. Nucl Instrum Methods Phys Res B 2007; 255: 18-22.
[5]
Sienz J, Szarvasy I, Hinton E, Andrade ML. Computational modelling of 3D objects by using ®tting techniques and subsequent mesh generation. Comput Struc 2000; 78: 397-413.
[6]
Ruprecht J, Nield J. Determining the structure of biological macromolecules by transmission electron microscopy, single particle analysis and 3D reconstruction. Prog Biophys Mol Biol 2001; 75: 121-64.
[7]
Fanjul-Vélez F, Romanov OG, Arce-Diego JL. Efficient 3D numerical approach for temperature prediction in laser irradiated biological tissues. Comput Biol Med 2009; 39: 810-7.
[8]
Powathil G, Kohandel M, Sivaloganathan S, Oza A, Milosevic M. Mathematical modeling of brain tumors: Effects of radiotherapy and chemotherapy. Phys Med Biol 2007; 52: 3291-306.
[9]
Puértolas S, Navallas D, Herrera A, et al. A methodology for the customized design of colonic stents based on a parametric model. J Mech Behav Biomed Mater 2017; 71: 250-61.
[10]
Javierre E, Vermolen FJ, Vuik C, van der Zwaag S. A mathematical analysis of physiological and morphological aspects of wound closure. J Math Biol 2009; 59: 605-30.
[11]
Yang X, You Z, Wang Z, Dai Q. Review on heterogeneous model reconstruction of stone-based composites in numerical simulation. Constr Build Mater 2016; 117(1): 229-43.

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