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Abstract #3083

Improved classification of paediatric brain tumours through whole spectra from in vivo magnetic resonance spectroscopy

Dadi Zhao1,2, James T. Grist1,2, Yu Sun1,2, and Andrew C Peet1,2

1Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom, 2Birmingham Children’s Hospital NHS Foundation Trust, Birmingham, United Kingdom

Single voxel magnetic resonance spectroscopy (SVS) is a non-invasive technique that can be used to probe metabolic activity in tumours. Previous studies have used metabolite concentrations to classify paediatric brain tumours from good quality data. However, the use of in vivo MRS whole spectra and wavelet de-noising for paediatric brain tumours have been rarely reported. In this study, we investigated the performance of spectra in classifying paediatric brain tumours by employing wavelet-based de-noising, and found significantly reduced error rate of classification based on the whole spectra, compared to that from metabolite concentrations and fits.

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