Please use this identifier to cite or link to this item: http://hdl.handle.net/11023/2959
Title: Predicting Post-Operative Functional Performance, Treatment Path, and Overall Survival in Glioblastoma Patients based on Tumour Location and Size
Author: Li, Luca Yangyang
Advisor: Frayne, Richard
Keywords: Neuroscience;Engineering--Biomedical
Abstract: Glioblastoma multiforme (GBM) is the most common primary brain malignancy in adults with a median survival of 12-18 months with treatment. Surgical reduction of the tumour volume by 78% or more increases patient life expectancy (further extended by adjuvant radio/chemotherapy). Although GBM surgery focuses on complete removal of the tumour, there is limited evidence supporting the approach, and the question of what effect the extent-ofresection (EOR) has on patient prognosis is frequently asked. Furthermore, extensive surgery in GBM management has been associated with surgically-acquired motor and language deficits. In addition, present subjective appraisals of tumour severity based on location are inconsistent. Working towards an objective grading system with radiological markers has been suggested to improve accuracy. In this thesis, I demonstrate a quantitative approach for assessing tumour severity. These results provide more evidence for tumour anatomical location and size as factors in affecting post-surgical functional performance and predicting clinical response.
URI: http://hdl.handle.net/11023/2959
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