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Abstract #0080

Deriving survival risk features using multi-parametric MRI in paediatric neuro-oncological disease: a multi-centre clinical study.

James Timothy Grist1, Stephanie Timothy Withey1, Lesley MacPherson2, Adam Oates3, Stephen Timothy Powell1, Jan Novak4, Laurence Abernethy5, Barry Pizer6, Ricahrd Grundy7, Simon Bailey8, Dipayan Mitra8, Theodoros N Arvantis9, Dorothee P. Auer7, and Andrew C Peet1
1University of Birmingham, Birmingham, United Kingdom, 2Birmingham Women's and CHildren's NHS foundation trust, Birmingham, United Kingdom, 3Birmingham Women's and Children's NHS foundation trust, Birmingham, United Kingdom, 4Aston University, Birmingham, United Kingdom, 5Alder Hey Children's NHS foundation trust, Liverpool, United Kingdom, 6Institute of Translation Medicine, University of Liverpool, Liverpool, United Kingdom, 7University of Nottingham, Nottingham, United Kingdom, 8Royal Victoria Infirmary, Newcastle, United Kingdom, 9University of Warwick, Warwick, United Kingdom

This study focuses on the combination of diffusion and perfusion imaging with advanced machine learning to predict survival in a cohort of paediatric brain tumours. Results show two novel subgroups with significantly different survival. These results will aid in clinical decision making and therapeutic studies.

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