Predicting Post-Operative Functional Performance, Treatment Path, and Overall Survival in Glioblastoma Patients based on Tumour Location and Size
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.
Description
Keywords
Neuroscience, Engineering--Biomedical
Citation
Li, L. Y. (2016). Predicting Post-Operative Functional Performance, Treatment Path, and Overall Survival in Glioblastoma Patients based on Tumour Location and Size (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27403