Search for dissertations about: "MRI Brain glioma"
Showing result 1 - 5 of 8 swedish dissertations containing the words MRI Brain glioma.
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1. Applications of diffusion MRI: Tensor-valued encoding, time-dependent diffusion, and histological validation
Abstract : Diffusion MRI (dMRI) sensitizes the MR signal to the diffusion of water molecules at the microscopic level and thereby non-invasively probes tissue microstructure. This is relevant when determining biological properties of tissues, for example, cancer type and its malignancy. READ MORE
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2. Towards Novel Biomarkers for Low-grade Glioma
Abstract : Gliomas are common primary brain tumours that occur as low-grade (LGG) and high-grade gliomas (HGG). Typically occurring in younger adults, LGG has an indolent course with a median survival of 5-10 years, but carries an inherent potential for transforming into HGG. READ MORE
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3. Towards new tools for clinical evaluation and visualization of tumor growth in patients with glioma
Abstract : Gliomas are derived from glial cells and are the most common type of primary brain tumors in adults. Gliomas are classified by the World Health Organization (WHO) according to their malignancy grade and histological and molecular features. Malignancy grades range from I to IV. WHO grade I tumors are benign tumors, mostly occurring in childhood. READ MORE
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4. Novel treatments of glioblastoma in experimental models
Abstract : One of the major problems with malignant brain tumours, such as glioblastoma multiforme, is that despite being able to remove the major bulk of the tumour through surgery and treating the patients with chemotherapy and radiotherapy, we know that tumour cells have already spread throughout the brain. Furthermore, we now know that the glioblastoma cells effectively suppress the patients’ own anti-tumour response. READ MORE
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5. Deep Learning Methods for Classification of Glioma and its Molecular Subtypes
Abstract : Diagnosis and timely treatment play an important role in preventing brain tumor growth. Clinicians are unable to reliably predict LGG molecular subtypes from magnetic resonance imaging (MRI) without taking biopsy. Accurate diagnosis prior to surgery would be important. READ MORE