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Identification and characterisation of childhood cerebellar tumours byin vivoproton MRS
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Davies, N. P., Wilson, M., Harris, L. M., Natarajan, K., Lateef, S., MacPherson, L., Sgouros, S., Grundy, R. G., Arvanitis, Theodoros N. and Peet, A. C. (2008) Identification and characterisation of childhood cerebellar tumours byin vivoproton MRS. NMR in Biomedicine, Volume 21 (Number 8). pp. 908-918. doi:10.1002/nbm.1283 ISSN 0952-3480.
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Official URL: http://dx.doi.org/10.1002/nbm.1283
Abstract
1H MRS has great potential for the clinical investigation of childhood brain tumours, but the low incidence in, and difficulties of performing trials on, children have hampered progress in this area. Most studies have used a long-TE, thus limiting the metabolite information obtained, and multivariate analysis has been largely unexplored. Thirty-five children with untreated cerebellar tumours (18 medulloblastomas, 12 pilocytic astrocytomas and five ependymomas) were investigated using a single-voxel short-TE PRESS sequence on a 1.5 T scanner. Spectra were analysed using LCModelTM to yield metabolite profiles, and key metabolite assignments were verified by comparison with high-resolution magic-angle-spinning NMR of representative tumour biopsy samples. In addition to univariate metabolite comparisons, the use of multivariate classifiers was investigated. Principal component analysis was used for dimension reduction, and linear discriminant analysis was used for variable selection and classification. A bootstrap cross-validation method suitable for estimating the true performance of classifiers in small datasets was used. The discriminant function coefficients were stable and showed that medulloblastomas were characterised by high taurine, phosphocholine and glutamate and low glutamine, astrocytomas were distinguished by low creatine and high N-acetylaspartate, and ependymomas were differentiated by high myo-inositol and glycerophosphocholine. The same metabolite features were seen in NMR spectra of ex vivo samples. Successful classification was achieved for glial-cell (astrocytoma + ependymoma) versus non-glial-cell (medulloblastoma) tumours, with a bootstrap 0.632 + error, eB.632+, of 5.3%. For astrocytoma vs medulloblastoma and astrocytoma vs medulloblastoma vs ependymoma classification, the eB.632+ was 6.9% and 7.1%, respectively. The study showed that 1H MRS detects key differences in the metabolite profiles for the main types of childhood cerebellar tumours and that discriminant analysis of metabolite profiles is a promising tool for classification. The findings warrant confirmation by larger multi-centre studies.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||
| Journal or Publication Title: | NMR in Biomedicine | ||||
| Publisher: | John Wiley & Sons Ltd. | ||||
| ISSN: | 0952-3480 | ||||
| Official Date: | October 2008 | ||||
| Dates: |
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| Volume: | Volume 21 | ||||
| Number: | Number 8 | ||||
| Page Range: | pp. 908-918 | ||||
| DOI: | 10.1002/nbm.1283 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Open Access (Creative Commons) |
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