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dc.contributor.authorWillms, Maya
dc.date.accessioned2021-12-17T15:12:30Z
dc.date.available2021-12-17T15:12:30Z
dc.date.issued2021-12-17T15:12:30Z
dc.identifier.urihttp://hdl.handle.net/10222/81110
dc.description.abstractBackground: The purpose of this study was to develop a reliable volumetric assessment of MRI-based tumour features, using available clinical software, to track tumour features longitudinally in patients with adult diffuse gliomas, and to assess the correlation between tumour features and biomarkers obtained by liquid biopsy. Methods: A manual segmentation protocol was developed to quantify tumour volumes and diffusion restricted volumes on serial MRIs. These measures were assessed longitudinally and then correlated with liquid biopsy derived RNA concentrations. Results: The segmentation technique has high reliability and can be used to track tumour volumes longitudinally. Significant correlations were found between diffusion restricted tissue and RNA concentrations in contrast enhanced and gross tumour regions. Conclusions: This technique is suitable for longitudinal studies of novel biomarkers of tumour progression and post-treatment recurrence. Further study is indicated on the relationship between diffusion restriction and clinical course, as well as the correlation with RNA concentration.en_US
dc.language.isoenen_US
dc.subjectGliomaen_US
dc.subjectMRIen_US
dc.subjectSegmentationen_US
dc.subjectImage Post-processingen_US
dc.subjectDiffusion Weighted Imagingen_US
dc.subjectGlioblastomaen_US
dc.titleA Practical and Reliable Method for Volumetric Assessment of Adult Diffuse Glioma Features on MRIen_US
dc.date.defence2021-12-07
dc.contributor.departmentDepartment of Medical Neuroscienceen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.external-examinerDr. Sultan Darveshen_US
dc.contributor.graduate-coordinatorDr. Ying Zhangen_US
dc.contributor.thesis-readerDr. Chris Bowenen_US
dc.contributor.thesis-readerDr. Sidney Croulen_US
dc.contributor.thesis-supervisorDr. Adrienne Weeksen_US
dc.contributor.thesis-supervisorDr. Matthias Schmidten_US
dc.contributor.ethics-approvalReceiveden_US
dc.contributor.manuscriptsNoen_US
dc.contributor.copyright-releaseNoen_US
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