Use this URL to cite or link to this record in EThOS:
Title: Magnetic resonance imaging of tumour biomarkers in ovarian cancer
Author: Deen, Surrin Shazam
ISNI:       0000 0004 7972 9215
Awarding Body: University of Cambridge
Current Institution: University of Cambridge
Date of Award: 2019
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Please try the link below.
Access from Institution:
This thesis explores the application of novel magnetic resonance imaging (MRI) techniques to the evaluation of ovarian cancer. Diffusion kurtosis imaging (DKI), sodium MRI, magnetization transfer (MT) imaging, hyperpolarized carbon-13 MRI and magnetic resonance fingerprinting (MRF) were employed to image ovarian tumours in human subjects. The results of the imaging were compared to semi-quantitative measurements of histology and immunohistochemistry staining of tissue samples. It was found that DKI may predict responders to cytotoxic drugs and that sodium MRI and MT measure cellularity. Effective techniques to perform hyperpolarized carbon-13 MRI and MRF were also shown in a clinical setting, where MRF may improve imaging speed and the reproducibility of proton imaging and hyperpolarized carbon-13 MRI could provide unique in vivo metabolic information that differs from FDG-PET.
Supervisor: Gallagher, Ferdia ; Brenton, James Sponsor: Gates Cambridge Trust ; Cancer Research UK ; Wellcome Trust ; Cambridge Experimental Cancer Medicine Centre ; Medical Research Council (MRC) ; Addenbrooke's Charitable Trust
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
Keywords: Magnetic resonance imaging ; ovarian cancer ; tumour biomarker