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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