The week's pick
Reseach Article
A Novel Optimization Method for the Latest Model of GBM Tumor in Order to Decrease the Total Amount of Dose Delivery
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 111 - Number 11 |
| Year of Publication: 2015 |
| Authors: Ali Jamali Nazari, Dariush Sardari, Ahmadreza Vali, Keivan Maghooli |
10.5120/19585-1343
|
Ali Jamali Nazari, Dariush Sardari, Ahmadreza Vali, Keivan Maghooli . A Novel Optimization Method for the Latest Model of GBM Tumor in Order to Decrease the Total Amount of Dose Delivery. International Journal of Computer Applications. 111, 11 ( February 2015), 33-36. DOI=10.5120/19585-1343
Abstract
In this article a brief story of mathematical model for one of the most lethal tumor, GBM, is considered, and it tries to reduce the amount of dose delivery to the patient by using genetic algorithm (GA). Since this tumor kills many of its patients, lots of efforts have been done in the previous decades in order to cure this cancer or at least increase its patients' lifetime. Most of previous models have not been associated with a treatment term but in this investigation the latest model of the tumor which contains the input term of radiotherapy has been utilized. This paper shows a new optimization solution on the latest model of GBM and reduces the total dose received by the patient while he or she has the same lifetime.
References
- Tanaka, M. L. , Debinski, W. , & Puri, I. K. : Hybrid mathematical model of glioma progression. Cell proliferation. 42(5), 637-646 (2009)
- Harpold, H. L. , Alvord, E. C. Jr and Swanson, K. R. : The evolution of mathematical modeling of glioma proliferation and invasion J. Neuropathol. Exp. N euro l. 66 1–9 (2007)
- Stein, Andrew M. , et al. "A mathematical model of glioblastoma tumor spheroid invasion in a three-dimensional in vitro experiment. " Biophysical journal 92. 1 (2007): 356-365.
- Rockne, R. , Alvord Jr, E. C. , Szeto, M. , Gu, S. , Chakraborty, G. , & Swanson, K. R. : Modeling diffusely invading brain tumors an individualized approach to quantifying glioma evolution and response to therapy. In Selected Topics in Cancer Modeling, Birkhäuser Boston. 1-15 (2008)
- Rockne, R. , Rockhill, J. K. , Mrugala, M. , Spence, A. M. , Kalet, I. , Hendrickson, K. , . . . & Swanson, K. R. : Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: A mathematical modeling approach. Physics in medicine and biology, 55(12), 3271(2010)
- Kirkby, N. F. , Jefferies, S. J. , Jena, R. , & Burnet, N. G. : A mathematical model of the treatment and survival of patients with high-grade brain tumours. Journal of theoretical biology. 245(1), 112-124 (2007)
- Barazzuol, L. , Burnet, N. G. , Jena, R. , Jones, B. , Jefferies, S. J. , & Kirkby, N. F. : A mathematical model of brain tumour response to radiotherapy and chemotherapy considering radiobiological aspects. Journal of theoretical biology. 262(3), 553-565 (2010)
- Alvord, E. C. Jr, and Shaw, C. M. : The Patholog y o f the Aging Human Nervous System ed S Ducket . Philadelphia, PA: Lea and Febiger. 210–81 (1991)
- Mitchell, M. : An Introduction to Genetic Algorithms. MIT Press (1996)
- Ferreira, C. : Gene expression programming: A new adaptive algorithm for solving problems. arXiv preprint cs/0102027 (2001)
- Ferreira, C (2001) Gene expression programming, a new adaptive algorithm for solving problems. arXiv preprint cs/0102027
- Jamali Nazari, Ali, et al. "Computer Implementation of a New Therapeutic Model for GBM Tumor. "Computational and mathematical methods in medicine 2014 (2014)
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