Back to Search Start Over

Added value of magnetic resonance spectroscopy for diagnosing childhood cerebellar tumours

Authors :
Karen A Manias
Heather E. L. Rose
Theodoros N. Arvanitis
Nigel P. Davies
Lesley MacPherson
Laurence Abernethy
Andrew C. Peet
Paul Davies
Adam Oates
Umair Janjua
Kal Natarajan
Publication Year :
2022
Publisher :
John Wiley & Sons Ltd., 2022.

Abstract

1 H-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

Details

Language :
English
ISSN :
09523480
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....fb5d6d8debfb9af2299dee07d657f39f