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Improved localisation for 2-hydroxyglutarate detection at 3T using long-TE semi-LASER

Abstract:
2-hydroxyglutarate (2-HG) has emerged as a biomarker of tumour cell IDH mutations that may enable the differential diagnosis of glioma patients. At 3 Tesla, detection of 2-HG with magnetic resonance spectroscopy is challenging because of metabolite signal overlap and a spectral pattern modulated by slice selection and chemical shift displacement. Using density matrix simulations and phanto experiments, an optimised semi-LASER scheme (TE = 110 ms) improves localisation of the 2-HG spin system considerably compared to an existing PRESS sequence. This results in a visible 2-HG peak in the in vivo spectra at 1.9 ppm in the majority of IDH mutated tumours. Detected concentrations of 2-HG were similar using both sequences, although the use of semi-LASER generated narrower confidence intervals. Signal overlap with glutamate and glutamine, as measured by pairwise fitting correlation was reduced. Lactate was readily detectable across glioma patients using the method presented here (mean CLRB: (10±2)%). Together with more robust 2-HG detection, long TE semi LASER offers the potential to investigate tumour metabolism and stratify patients in vivo at 3T.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.18383/j.tom.2016.00139

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Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Chemistry
Role:
Author


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Funding agency for:
Berrington, A
Grant:
Full-funded studentship
More from this funder
Funding agency for:
Emir, U
More from this funder
Funding agency for:
Emir, U


Publisher:
Grapho Publications
Journal:
Tomography More from this journal
Publication date:
2016-06-01
Acceptance date:
2016-05-13
DOI:
ISSN:
2379-1381


Keywords:
Pubs id:
pubs:622370
UUID:
uuid:bdec3754-ca90-4c27-bdcd-52879260696e
Local pid:
pubs:622370
Source identifiers:
622370
Deposit date:
2016-05-16

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