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Abstract #1075

3D textural features of conventional MRI predict survival in childhood medulloblastoma

Ahmed E. Fetit 1,2 , Jan Novak 2,3 , Simrandip K. Gill 2,3 , Martin Wilson 2,3 , Andrew C. Peet 2,3 , and Theodoros N. Arvanitis 1,2

1 Institute of Digital Healthcare, WMG, University of Warwick, Coventry, West Midlands, United Kingdom, 2 Birmingham Children's Hospital NHS Foundation Trust, Birmingham, West Midlands, United Kingdom, 3 University of Birmingham, Birmingham, West Midlands, United Kingdom

There has been an increasing interest in childhood brain tumour characterisation using non-invasive MR image analysis methods, such as texture analysis (TA) over the past decade. However, much of this work focused on diagnostic classification of tumour types. This raises the question: If textural features could capture powerful patterns that aid the diagnosis of tumours, can they also be used to predict patients survival prognosis? Following diagnosis, determination of prognosis is an important step in tumour management, with implications that determine treatment options. In this regard, the primary aim of this study was to determine whether three-dimensional TA of conventional MR images could predict the survival of paediatric medulloblastoma the most common malignant brain tumour occurring in childhood.

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