Investigation of Mathematical Modeling for the general treatment of Glioblastoma
The purpose of this research is to validate various forms of mathematical modeling of glioblastoma multiforme (GBM) expressed as differential equations, numerically. The first work was involved in the numerical solution of the reaction-convection model, efficacy of which is expressed in terms of...
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ndltd-fau.edu-oai-fau.digital.flvc.org-fau_336902019-07-04T03:57:51Z Investigation of Mathematical Modeling for the general treatment of Glioblastoma FA00004703 Khatiwada, Dharma Raj (author) Kalantzis, Georgios (Thesis advisor) Florida Atlantic University (Degree grantor) Charles E. Schmidt College of Science Department of Physics 96 p. application/pdf Electronic Thesis or Dissertation Text English The purpose of this research is to validate various forms of mathematical modeling of glioblastoma multiforme (GBM) expressed as differential equations, numerically. The first work was involved in the numerical solution of the reaction-convection model, efficacy of which is expressed in terms of survival time. It was calculated using simple numerical scheme for the standard-of-care treatment in clinics which includes surgery followed by the radiation and chemotherapy. Survival time using all treatment options increased significantly to 57 weeks compared to that of surgery close to 14 weeks. It was also observed that survival time increased significantly to 90 weeks if tumor is totally resected. In reaction-diffusion model using simple numerical scheme, tumor cell density patterns due to variation in patient specific tumor parameters such as net proliferation rate and diffusion coefficient were computed. Significant differences were observed in the patterns while using dominant diffusion and proliferation rate separately. Numerical solution of the tumor growth model under the anti-angiogenic therapy revealed some impacts in optimum tumor growth control however it was not significant. Florida Atlantic University Antineoplastic agents Brain -- Cancer -- Treatment Cancer -- Research Cytology Glioblastoma multiforme -- Treatment Immune system -- Mathematical models Systems biology Includes bibliography. Thesis (M.S.)--Florida Atlantic University, 2016. FAU Electronic Theses and Dissertations Collection Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. http://purl.flvc.org/fau/fd/FA00004703 http://rightsstatements.org/vocab/InC/1.0/ https://fau.digital.flvc.org/islandora/object/fau%3A33690/datastream/TN/view/Investigation%20of%20Mathematical%20Modeling%20for%20the%20general%20treatment%20of%20Glioblastoma.jpg |
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Antineoplastic agents Brain -- Cancer -- Treatment Cancer -- Research Cytology Glioblastoma multiforme -- Treatment Immune system -- Mathematical models Systems biology |
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Antineoplastic agents Brain -- Cancer -- Treatment Cancer -- Research Cytology Glioblastoma multiforme -- Treatment Immune system -- Mathematical models Systems biology Investigation of Mathematical Modeling for the general treatment of Glioblastoma |
description |
The purpose of this research is to validate various forms of mathematical modeling
of glioblastoma multiforme (GBM) expressed as differential equations, numerically.
The first work was involved in the numerical solution of the reaction-convection
model, efficacy of which is expressed in terms of survival time. It was calculated using
simple numerical scheme for the standard-of-care treatment in clinics which includes
surgery followed by the radiation and chemotherapy. Survival time using all treatment
options increased significantly to 57 weeks compared to that of surgery close
to 14 weeks. It was also observed that survival time increased significantly to 90
weeks if tumor is totally resected. In reaction-diffusion model using simple numerical
scheme, tumor cell density patterns due to variation in patient specific tumor
parameters such as net proliferation rate and diffusion coefficient were computed.
Significant differences were observed in the patterns while using dominant diffusion
and proliferation rate separately. Numerical solution of the tumor growth model
under the anti-angiogenic therapy revealed some impacts in optimum tumor growth
control however it was not significant. === Includes bibliography. === Thesis (M.S.)--Florida Atlantic University, 2016. === FAU Electronic Theses and Dissertations Collection |
author2 |
Khatiwada, Dharma Raj (author) |
author_facet |
Khatiwada, Dharma Raj (author) |
title |
Investigation of Mathematical Modeling for the general treatment of Glioblastoma |
title_short |
Investigation of Mathematical Modeling for the general treatment of Glioblastoma |
title_full |
Investigation of Mathematical Modeling for the general treatment of Glioblastoma |
title_fullStr |
Investigation of Mathematical Modeling for the general treatment of Glioblastoma |
title_full_unstemmed |
Investigation of Mathematical Modeling for the general treatment of Glioblastoma |
title_sort |
investigation of mathematical modeling for the general treatment of glioblastoma |
publisher |
Florida Atlantic University |
url |
http://purl.flvc.org/fau/fd/FA00004703 |
_version_ |
1719219817126297600 |