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Selected Topics in Cancer ModelingModeling Diffusely Invading Brain Tumors An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy

Selected Topics in Cancer Modeling: Modeling Diffusely Invading Brain Tumors An Individualized... Modeling Diffusely Invading Brain Tumors: An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy Russell Rockne, Ellsworth C. Alvord Jr., Mindy Szeto, Stanley Gu, Gargi Chakraborty, Kristin R. Swanson Department of Pathology, University of Washington, 1959 NE Pacific St., Box 357470, Seattle, WA 98195, USA rockne@u.washington.edu, swanson@amath.washington.edu 8.1 Introduction Gliomas are highly aggressive primary brain tumors that extensively invade the surrounding normal tissue prior to the onset of symptoms. They are clas- sified from low to high grade (I–IV) malignancy depending on specific histo- logical characteristics [24]. High-grade gliomas (most commonly glioblastoma multiforme, WHO grade IV) are distinguished by necrosis and are the most common type of gliomas found in adults, as well as the most rapidly grow- ing and the most invasive. Patients with glioblastomas (GBM) have a 100% fatality rate and a median survival time of 10–12 months after diagnosis and treatment, with very few patients surviving beyond three years [2]. This com- bination of high degree of invasiveness and the inability of current medical imaging technology to capture the full extent of invasion creates an ideal sit- uation for the development of a mathematical model that can shed light on the extent of invasion http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Selected Topics in Cancer ModelingModeling Diffusely Invading Brain Tumors An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy

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Publisher
Birkhäuser Boston
Copyright
© Birkhäuser Boston 2008
ISBN
978-0-8176-4712-4
Pages
1 –15
DOI
10.1007/978-0-8176-4713-1_8
Publisher site
See Chapter on Publisher Site

Abstract

Modeling Diffusely Invading Brain Tumors: An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy Russell Rockne, Ellsworth C. Alvord Jr., Mindy Szeto, Stanley Gu, Gargi Chakraborty, Kristin R. Swanson Department of Pathology, University of Washington, 1959 NE Pacific St., Box 357470, Seattle, WA 98195, USA rockne@u.washington.edu, swanson@amath.washington.edu 8.1 Introduction Gliomas are highly aggressive primary brain tumors that extensively invade the surrounding normal tissue prior to the onset of symptoms. They are clas- sified from low to high grade (I–IV) malignancy depending on specific histo- logical characteristics [24]. High-grade gliomas (most commonly glioblastoma multiforme, WHO grade IV) are distinguished by necrosis and are the most common type of gliomas found in adults, as well as the most rapidly grow- ing and the most invasive. Patients with glioblastomas (GBM) have a 100% fatality rate and a median survival time of 10–12 months after diagnosis and treatment, with very few patients surviving beyond three years [2]. This com- bination of high degree of invasiveness and the inability of current medical imaging technology to capture the full extent of invasion creates an ideal sit- uation for the development of a mathematical model that can shed light on the extent of invasion

Published: Aug 21, 2008

Keywords: Glioma Cell; Glioblastoma Multiforme; Gross Tumor Volume; Gross Total Resection; Glioma Growth

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