Invasive Front Analysis of Brain Tumors 公开
Zhang, Haoyu (2015)
Published
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
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Invasive Front Analysis of Brain Tumors () | 2018-08-28 10:57:46 -0400 |
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