Abstract
Glioma, a tumor that starts in the brain or spine, makes up about
30% of all tumors of the central nervous system and 80% of all
malignant brain tumors. The mutations in isocitrate dehydrogenase 1
(IDH1) was found as a novel biomarker of gliomas. Sections of
patient tumors of gliomas grades II-IV, stained with an antibody
specific to the mutated IDH1 protein, were contributed by Andreas
von Diemling and colleagues. We analyzed the glioma cell
distributions in these slides and compared the cell distributions
in the invasive front with different tumor types and grades. Our
approach provides some basic understanding of the glioma tumor
patterns and their invasive front, which will potentially help
provide better therapy for patients, especially during surgery.
Table of Contents
Contents 1. Introduction 1 1.1 Glioma 1 1.2 Approaches for
distinguishing gliomas 2 1.3 Reaction-Diffusion model for tumor
growth 3 1.4 Questions and Motivation 4 2. Methods 6 2.1 Raw images
6 2.2 Cutting images 8 2.3 Image Processing 10 2.4 Definition and
Calculation of Density 13 2.5 Finding the direction of diffusion 15
2.6 Calculating the steepness of cell density profiles 17 2.7
Boundary effect 18 3. Results and Analysis 21 3.1 Pipeline of our
analysis 21 3.2 The distribution of slope for samples of the same
type and different grades 22 3.3 Average slopes for glioma in same
sample and different grades 24 3.4 Average slope of gliomas in
different types and grades 25 4. Conclusions and Discussion 27
Bibliography 28
About this Master's Thesis
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