Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 70 for “"Brain tumour"”.
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Nanoemulsion formulations for brain tumour therapy
… This is because the drug cannot reach the tumour site in sufficient amounts. The aim of this project is to investigate the hypothesis that nanoemulsion formulations play an effective role as drug-delivery vehicles for the treatment of glioma. Two commercially available nanoemulsion …
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Deep Learning-Based Brain Tumour Detection and Classification
Early and accurate detection of brain tumours is essential for improving patient outcomes and guiding effective treatment plans. Traditional diagnostic procedures such as biopsies, performed after brain surgery, are invasive and carry significant risk. With recent advancements in technology, deep …
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Advancing Automatic Brain Tumour Segmentation Using Multi-Modal MRI
Brain tumours are characterised by the uncontrolled growth of abnormal cells within or around the brain. Early and accurate detection of these tumours is imperative for improving patient outcomes, significantly enhanced through rapid and precise tumour segmentation in medical imaging. While manual …
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Neuropsychological outcomes in children treated with surgery for brain tumour
Brain tumours are the second most c o m m o n form of cancer in children. The majority of children treated for brain tumour survive, but they can experience a number of neurological and neuropsychological sequelae. A range of tumour, treatment, and psychosocial factors cumulatively and …
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MRI brain tumour classification using image processing and data mining
Detecting and diagnosing brain tumour types quickly and accurately is essential to any effective treatment. The general brain tumour diagnosis procedure, biopsy, not only causes a great deal of pain to the patient but also raises operational difficulty to the clinician. In this thesis, a …
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Decoding mechanisms of brain tumour initiating cell adaption and tumour growth
… (GBM) remains the most common malignant brain tumour with only 5% and 0.76% of patients surviving for 5 and 10 years beyond diagnosis, respectively. The cancer stem cell subpopulation of such tumours has been shown to be responsible for tumour initiation and to be able to recapitulate …
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Novel Drug Discovery for Glioblastoma Multiforme Using Brain Tumour Initiating Cells
… is the most common and aggressive adult primary brain tumour. Populations of cells with tumour initiating capacity, termed brain tumour initiating cells (BTICs), are thought to underlie the formation, growth and recurrence of GBM. As such, therapies that target this compartment may improve the …
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DNA chip designed antisense oligodeoxynucleotides targeting EGFR MRNA for brain tumour therapy
Glioblastoma multiforme (GBM) is a malignant brain tumour for which there is currently no effective treatment regime. It is thought to develop due to the overexpression of a number of genes, including the epidermal growth factor receptor (EGFR), which is found in over 40% of GBM. Novel forms of …
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Improving Computational Efficiency of MRI Brain Tumour Analysis Using Hybrid Machine Learning Models
Brain tumor is a critical challenge in medical diagnostics, worsen by the high mortality rate and prevalence worldwide of the disease. Accurate and early detection is paramount to improving patient outcomes. This study focuses on evaluating the usefulness of machine learning (ML) and deep learning …
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Mathematical modelling of brain tumour growth. Integrating mechanics, phenotypic evolution, and nutrient transport to describe anisotropic behaviour and personalised therapies.
L'abstract è presente nell'allegato / the abstract is in the attachment
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An automated classification system to determine malignant grades of brain tumour (glioma) in magnetic resonance images based on meta-trainable multiple classifier schemes
… accurate classification of malignant grades of brain tumours is crucial for therapeutic planning as it impacts on the tumour’s prognosis, where the higher the malignancy levels of the brain tumour are, the higher the mortality rate is. It is also essential to provide patients with appropriate …
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The experience of low grade and pituitary tumours
Low grade brain tumours make up approximately 45% of all brain tumour diagnoses each year in the UK, of which 10% are pituitary tumours. People with low grade and pituitary tumours can experience a wide range of physical, psychological and cognitive difficulties. Studies have reported mixed results …
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Diagnostic Neuropathology of Brain Tumours using Biophotonics and Spectrometry
Classification of tumours such as gliomas, which are on a continuous spectrum of histology and malignancy into distinct categories is still a challenge using histopathology. There has been significant advances in the techniques used to fight cancer in the past two decades. A number of studies have …
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DLL4 and JAG1 in the Glioblastoma Response to Temozolomide Chemotherapy
… is the most common aggressive primary malignant brain tumour in adults. The current gold standard treatment comprises of surgery followed by radiotherapy and adjuvant temozolomide (TMZ) chemotherapy. Prognosis is poor, with a median survival of 14.6 months following diagnosis. Treatment often …
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Exploring potential inhibitors of the HGF-Met signalling pathway as a prospective treatment for paediatric medulloblastoma
… therapeutic treatments for cancer patients. The brain tumour Medulloblastoma is the leading cause of cancer-related death in children and infants meaning research into better treatment of this cancer is vital. Using cell culture model systems and bioinformatics resources, this project …
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Morphological classification of childhood medulloblastomas with β-catenin immunohistochemistry and mycn fluorescent in situ hybridization
… most frequently occurring childhood malignant brain tumour, affecting 1 of 5 children presenting with a brain tumour, between the ages of 0 and 9 years. The basic prognostic stratification that relies on clinical and histological findings alone has proven unsatisfactory as an outcome predictor. …
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Pre-operative Functional Magnetic Resonance Imaging: Application to Tumour Resection by Awake Craniotomy
The management of brain tumours in eloquent areas remains challenging. Surgical intervention is currently the primary method of treatment, with the surgeon attempting to maximize tumour resection while simultaneously sparing healthy cortex. Pre-operative and intra-operative brain mapping techniques …
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TO INVESTIGATE THE ROLE OF RNF8 IN REGULATING MITOTIC PROGRESSION IN GLIOMAS
Glioblastoma (GBM) is a lethal brain tumour that is driven by glioma stem cells (GSCs). The E3 ubiquitin ligase RNF8, an established DNA damage response factor, has been implicated in spindle assembly checkpoint (SAC) but its exact role remains unknown. Using RNF8 proximity proteomics, we find that …
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An automated system for the classification and segmentation of brain tumours in MRI images based on the modified grey level co-occurrence matrix
… for the classification and segmentation of brain tumours in MRI scans remains challenging due to high variability and complexity of the brain tumours. Visual examination of MRI scans to diagnose brain tumours is the accepted standard. However due to the large number of MRI slices that are …
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Assessment of the in vitro efficacy of aspirin and aspirin analogues in combination with standard chemotherapeutics in glioma cell lines
… is the most common and most malignant primary brain tumour. The prognosis for patients remains poor with a median survival time falling well short of a year in spite of surgical removal of tumour followed by radiotherapy. GBM is resistant to the current treatment regimen, often due to …
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