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Abstract #2929

Multi-parametric MRI of glioblastoma invasion quantitative evaluation using histological stacks

Haitham Al-Mubarak1, Antoine Vallatos1, Lindsay Gallagher1, Joanna Birch2, Lesley Glmour2, John Foster3, Anthony Chalmers2, and William Holmes1

1Glasgow Experimental MRI center, University of Glasgow, Glasgow, United Kingdom, 2Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom, 3School of medicine, dentistry and nursing, University of Glasgow, Glasgow, United Kingdom

We perform a quantitative histological evaluation of a range of MRI techniques in their ability to probe glioblastoma invasion in a mouse model. Using 3-D histological stacks co-registered with MRI slices allows to achieve high values in Dice, sensitivity and specificity tests (>90%). This approach enables to go beyond the standard evaluation tests, performing direct voxel-to-voxel comparison between MRI and histology, and facilitating the development of multi-parametric analysis models. We also identified promising methods for detecting low tumour concentration regions at the invasion limits.

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