Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.551518
Title: Advanced magnetic resonance imaging and metabolic studies of low grade gliomas in childhood
Author: Orphanidou, Eleni
ISNI:       0000 0004 2719 9320
Awarding Body: University of Birmingham
Current Institution: University of Birmingham
Date of Award: 2012
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
Introduction: Paediatric low grade brain tumours present diagnostic and prognostic challenges, providing a need for better non-invasive imaging characterization. The value of \(^1\)H Magnetic Resonance Spectroscopy (MRS) performed on 5 scanners in the diagnosis and prognostication of an extensive bi-centre cohort of low-grade gliomas is investigated. Methods: Single voxel MRS was performed routinely in children with brain tumours at the Birmingham Children’s Hospital and Queen’s Medical Centre. Histopathological features were semi-quantified and in vitro \(^1\)H NMR used to study pilocytic astrocytoma cell lines. Magnetic Resonance Spectroscopic Imaging (MRSI) and texture analysis of MR images were performed. Results: MRS detects differences between subgroups of low grade brain tumours in children and between tumours of the same histology. High myo-inositol and glycerophosphocholine and low phosphocholine are markers of good prognosis. Histological correlates for MRS metabolites have been identified and paediatric pilocytic astrocytoma cell lines (‘typical’, metastatic and recurrence) have been discriminated. The value of MRSI in answering clinical questions has been demonstrated. Texture analysis achieved high accuracy in the diagnosis of paediatric posterior fossa tumours. Conclusion: Advanced MR techniques have a significant role in the study of paediatric brain tumours, and promising results from MRS, MRSI and texture analysis are reported here.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.551518  DOI: Not available
Keywords: RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Share: