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Abstract #2258

Characterising patterns of tumour invasion in glioblastoma

Timothy J Larkin 1 , Natalie R Boonzaier 1 , Laila A Mohsen 2 , and Stephen J Price 1

1 Division of Neurosurgery, University of Cambridge, Cambridge, United Kingdom, 2 Department of Radiology, University of Cambridge, United Kingdom

Diffusion tensor imaging (DTI) can be used to identify different patterns of tumour invasion in glioblastoma. These patterns of invasion from minimally to locally to diffusely invasive have been shown to correlate with progression free survival in these tumours. We aimed to develop an automated method of classifying patterns of invasion by measuring the distance between the edges of the bulk tumour and the invasive margin defined using DTI. Using our method we are able to distinguish different patterns of invasion.

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