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Abstract #0380

The Role of Diffusion Tensor Imaging in the Characterisation of Paediatric Brain Tumours - a Multi-Centre Study

Heather E. L. Rose1,2, Christopher D. Bennett1,2, Jan Novak1,2,3, Lesley MacPherson2, Shivaram Avula4, Theodoros N. Arvanitis1,2,5, Chris A. Clark6, Simon Bailey7, Dipayan Mitra8, Dorothee P. Auer9, Richard Grundy9, and Andrew Peet1,2

1Institute of Cancer and Genomic sciences, The University of Birmingham, Birmingham, United Kingdom, 2Birmingham Children's Hospital, Birmingham, United Kingdom, 3School of Life and Health sciences, Aston University, Birmingham, United Kingdom, 4Department of Radiology, Alder Hey Children's NHS Foundation Trust, Liverpool, United Kingdom, 5Institute of Digital Healthcare, WMG, University of Warwick, Coventry, United Kingdom, 6Institute of Child Health, Great Ormond Street Hospital, London, United Kingdom, 7Paediatric Oncology Department, Great North Children’s Hospital, Newcastle upon Tyne, United Kingdom, 8Neuroradiology Department, Newcastle upon Tyne Hospitals, Newcastle upon Tyne, United Kingdom, 9The Children‘s Brain Tumour Research Centre, University of Nottingham, Nottingham, United Kingdom

CNS tumours are the most common solid tumour in paediatrics and the most common cause of childhood cancer deaths. The diagnostic role of Diffusion Tensor Imaging (DTI) in patients with either medulloblastoma (MB), pilocytic astrocytoma (PA) or ependymoma (EP) was investigated. Fractional anisotropy (FA) and mean diffusivity (MD) means were found to be significantly different between tumour groups, as determined by one-way ANOVA (p=0.0002 and <0.0001). MD distributions enabled classification of tumour type, using linear discriminant analysis (LDA), with an average accuracy of 80%. DTI metrics were shown to provide an insight into the structure of paediatrics CNS tumours with LDA classification using MD demonstrating improved accuracy over FA.

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