Prospective multicentre evaluation and refinement of an analysis tool for magnetic resonance spectroscopy of childhood cerebellar tumours

Karen A Manias, Lisa M Harris, Nigel P Davies, Kal Natarajan, Lesley MacPherson, Katharine Foster, Marie-Anne Brundler, Darren R Hargrave, Geoffery S Payne, Martin O Leach, Paul S Morgan, Dorothee Auer, Tim Jaspan, Theodoros N Arvanitis, Richard G Grundy, Andrew C Peet

Research output: Contribution to journalArticlepeer-review

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BACKGROUND: A tool for diagnosing childhood cerebellar tumours using magnetic resonance (MR) spectroscopy peak height measurement has been developed based on retrospective analysis of single-centre data.

OBJECTIVE: To determine the diagnostic accuracy of the peak height measurement tool in a multicentre prospective study, and optimise it by adding new prospective data to the original dataset.

MATERIALS AND METHODS: Magnetic resonance imaging (MRI) and single-voxel MR spectroscopy were performed on children with cerebellar tumours at three centres. Spectra were processed using standard scanner software and peak heights for N-acetyl aspartate, creatine, total choline and myo-inositol were measured. The original diagnostic tool was used to classify 26 new tumours as pilocytic astrocytoma, medulloblastoma or ependymoma. These spectra were subsequently combined with the original dataset to develop an optimised scheme from 53 tumours in total.

RESULTS: Of the pilocytic astrocytomas, medulloblastomas and ependymomas, 65.4% were correctly assigned using the original tool. An optimized scheme was produced from the combined dataset correctly assigning 90.6%. Rare tumour types showed distinctive MR spectroscopy features.

CONCLUSION: The original diagnostic tool gave modest accuracy when tested prospectively on multicentre data. Increasing the dataset provided a diagnostic tool based on MR spectroscopy peak height measurement with high levels of accuracy for multicentre data.

Original languageEnglish
JournalPediatric radiology
Early online date30 Jul 2018
Publication statusE-pub ahead of print - 30 Jul 2018


  • Brain
  • Cerebellum
  • Children
  • Diagnosis
  • Magnetic resonance spectroscopy
  • Tumuor


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