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Added value of magnetic resonance spectroscopy for diagnosing childhood cerebellar tumours
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Davies, Nigel P., Rose, Heather E. L., Manias, Karen A., Natarajan, Kal, Abernethy, Laurence J., Oates, Adam, Janjua, Umair, Davies, Paul, MacPherson, Lesley, Arvanitis, Theodoros N. and Peet, Andrew C. (2022) Added value of magnetic resonance spectroscopy for diagnosing childhood cerebellar tumours. NMR in Biomedicine, 35 (2). e4630. doi:10.1002/nbm.4630
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WRAP-added-value-magnetic-resonance-spectroscopy-diagnosing-childhood-cerebellar-tumours-Arvanitis-2021.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (1664Kb) | Preview |
Official URL: https://doi.org/10.1002/nbm.4630
Abstract
1H‐magnetic resonance spectroscopy (MRS) provides noninvasive metabolite profiles with the potential to aid the diagnosis of brain tumours. Prospective studies of diagnostic accuracy and comparisons with conventional MRI are lacking. The aim of the current study was to evaluate, prospectively, the diagnostic accuracy of a previously established classifier for diagnosing the three major childhood cerebellar tumours, and to determine added value compared with standard reporting of conventional imaging. Single‐voxel MRS (1.5 T, PRESS, TE 30 ms, TR 1500 ms, spectral resolution 1 Hz/point) was acquired prospectively on 39 consecutive cerebellar tumours with histopathological diagnoses of pilocytic astrocytoma, ependymoma or medulloblastoma. Spectra were analysed with LCModel and predefined quality control criteria were applied, leaving 33 cases in the analysis. The MRS diagnostic classifier was applied to this dataset. A retrospective analysis was subsequently undertaken by three radiologists, blind to histopathological diagnosis, to determine the change in diagnostic certainty when sequentially viewing conventional imaging, MRS and a decision support tool, based on the classifier. The overall classifier accuracy, evaluated prospectively, was 91%. Incorrectly classified cases, two anaplastic ependymomas, and a rare histological variant of medulloblastoma, were not well represented in the original training set. On retrospective review of conventional MRI, MRS and the classifier result, all radiologists showed a significant increase (Wilcoxon signed rank test, p < 0.001) in their certainty of the correct diagnosis, between viewing the conventional imaging and MRS with the decision support system. It was concluded that MRS can aid the noninvasive diagnosis of posterior fossa tumours in children, and that a decision support classifier helps in MRS interpretation.
| Item Type: | Journal Article | |||||||||||||||||||||
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| Subjects: | R Medicine > RJ Pediatrics | |||||||||||||||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | |||||||||||||||||||||
| SWORD Depositor: | Library Publications Router | |||||||||||||||||||||
| Library of Congress Subject Headings (LCSH): | Cerebellum -- Diseases, Nuclear magnetic resonance spectroscopy -- Diagnostic use, Brain -- Diseases -- Diagnosis, Pediatric neurology -- Research | |||||||||||||||||||||
| Journal or Publication Title: | NMR in Biomedicine | |||||||||||||||||||||
| Publisher: | John Wiley & Sons Ltd. | |||||||||||||||||||||
| ISSN: | 0952-3480 | |||||||||||||||||||||
| Official Date: | February 2022 | |||||||||||||||||||||
| Dates: |
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| Volume: | 35 | |||||||||||||||||||||
| Number: | 2 | |||||||||||||||||||||
| Article Number: | e4630 | |||||||||||||||||||||
| DOI: | 10.1002/nbm.4630 | |||||||||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||||||||
| Publication Status: | Published | |||||||||||||||||||||
| Access rights to Published version: | Open Access | |||||||||||||||||||||
| RIOXX Funder/Project Grant: |
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