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Title
Estimating GL-261 cell growth: A murine model for Glioblastoma Multiforme
Description
Glioblastoma Multiforme (GBM) is an aggressive and deadly form of brain cancer with a median survival time of about a year with treatment. Due to the aggressive nature of these tumors and the tendency of gliomas to follow white matter tracks in the brain, each tumor mass has a unique growth pattern. Consequently it is difficult for neurosurgeons to anticipate where the tumor will spread in the brain, making treatment planning difficult. Archival patient data including MRI scans depicting the progress of tumors have been helpful in developing a model to predict Glioblastoma proliferation, but limited scans per patient make the tumor growth rate difficult to determine. Furthermore, patient treatment between scan points can significantly compound the challenge of accurately predicting the tumor growth. A partnership with Barrow Neurological Institute has allowed murine studies to be conducted in order to closely observe tumor growth and potentially improve the current model to more closely resemble intermittent stages of GBM growth without treatment effects.
Date Created
2014-05
Contributors
- Snyder, Lena Haley (Author)
- Kostelich, Eric (Thesis director)
- Frakes, David (Committee member)
- Barrett, The Honors College (Contributor)
- School of Mathematical and Statistical Sciences (Contributor)
- Harrington Bioengineering Program (Contributor)
Topical Subject
Resource Type
Extent
32 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2013-2014
Handle
https://hdl.handle.net/2286/R.I.23490
Level of coding
minimal
Cataloging Standards
System Created
- 2017-10-30 02:50:57
System Modified
- 2021-08-11 04:09:57
- 3 years 3 months ago
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