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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