Investigation of magnetic resonance imaging biomarkers of radiation effects on healthy mice brain tissue and Glioblastoma treatment

Qaisi, Abdulrahman (2020) Investigation of magnetic resonance imaging biomarkers of radiation effects on healthy mice brain tissue and Glioblastoma treatment. PhD thesis, University of Glasgow.

Abstract

In the field of clinical oncology, radiotherapy is one of the most extensively applied anticancer treatments. However, the ionizing radiation (IR) is absorbed not only by the targeted cells, but also by the surrounding normal cells as well. Consequently, patients may experience symptoms associated with a damage to normal tissues a few weeks, months or years after a course of radiotherapy. We applied a right brain hemisphere radiation technique for mice that mimics radiation exposure during radiotherapy. We investigated several possible brain imaging biomarkers for radiation-induced damage, such as demyelination, axonal injury and inflammation, at different time points post-irradiation (IR). Because Glioblastoma Multiform (GBM) can provoke a more infiltrative phenotype in GBM cells which survive treatment, scans of the brain were obtained using different Magnetic Resonance Imaging (MRI) modalities, including Diffusion Tensor Imaging (DTI), T2 weighted high resolution and T2 mapping) at several time points (pre-IR and 15, 50, 90 and 180 days post-IR). We also investigated the ability of MRI to assess the early stage effect of ionising radiation treatment on the invasiveness of an infiltrative rodent GBM model by using T2 weighted imaging.

• Item Type: Thesis (PhD)
• Qualification Level: Doctoral
• Keywords: Ionising radiation (IR), Glioblastoma Multiform (GBM), Magnetic Resonance Imaging (MRI), Diffusion Tensor Imaging (DTI).
• Subjects: Q Science > QC Physics
• Colleges/Schools: College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
• Supervisor's Name: Holmes, Dr. William and Chalmers, Prof. Anthony
• Date of Award: 2020
• Depositing User: Mr Abdulrahman Qaisi
• Unique ID: glathesis:2020-81711
• Copyright: Copyright of this thesis is held by the author.
• Date Deposited: 13 Oct 2020 13:57
• Last Modified: 15 Sep 2022 08:11
• Thesis DOI: 10.5525/gla.thesis.81711
• URI: https://theses.gla.ac.uk/id/eprint/81711