Characterising patterns of tumour invasion in glioblastoma
Timothy J Larkin 1 , Natalie R Boonzaier 1 , Laila A Mohsen 2 , and Stephen J Price 1
Division of Neurosurgery, University of
Cambridge, Cambridge, United Kingdom,
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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