• Natasja Spring Ehlers
A cerebral tumor is rare but often fatal in adults. The aetiology of the disease is still unknown but it is believed that it can be initiated by certain genetical and environmental factors. Diagnosing patients with a cerebral tumor is often difficult and to determine the final diagnosis an invasive procedure must be performed. This can have consequences for the patients in terms of high morbidity and mortality.

Partly automated and objective methods for non-invasive tumor diagnostics have been developed. These methods are primarily based on supervised pattern recognition and are using parameters measured by advanced magnetic resonance techniques in the classification of cerebral tumors. A non-supervised and explorative analysis seems lees well-documented.

Therefore the purpose of this project is to use an explorative analysis in the identification of clinical relevant information that can be used in the diagnosis and treatment of cerebral tumors. The analysis is performed on physiological parameters measured by advanced magnetic resonance techniques.

The results of the analysis shows that clinical relevant parameters are spectral parameters such as choline, lactate and lipids together with perfusion parameters such as the cerebral blood volume and the cerebral blood flow through the most malignant part of the tumor. The results also indicate that sub groups exist among the high grade Glioblastoma Multiforme. If these sub groups are correlated with for instance treatment response it indicates that physiological tumor parameters can contribute with important clinical information that enable a more specific diagnosis and treatment of patients with cerebral tumors.
Publication date3 Jun 2010
Number of pages129
Publishing institutionAalborg University
ID: 32374049