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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Other Authors: Khatiwada, Dharma Raj (author)
Format: Others
Language:English
Published: Florida Atlantic University
Subjects:
Online Access:http://purl.flvc.org/fau/fd/FA00004703
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spelling 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
collection NDLTD
language English
format Others
sources NDLTD
topic Antineoplastic agents
Brain -- Cancer -- Treatment
Cancer -- Research
Cytology
Glioblastoma multiforme -- Treatment
Immune system -- Mathematical models
Systems biology
spellingShingle 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
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