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Abstract #2354

Investigating How to Optimally Combine Multimodal MRI Data to Better Identify Glioblastoma Infiltration.

Haitham Al-Mubarak1, Antoine Vallatos2, Joanna Birch3, Lindsay Gallagher1, Lesley Glmour4, Anthony Chalmers5, and William Holmes4

1Glasgow Experimental MRI Center, University of Glasgow, Glasgow, United Kingdom, 2Centre of Clinical Brain Science, Edinburgh, United Kingdom, 3Institute of Cancer Sciences, University of Glasgow, Glasgow, United Kingdom, 4University of Glasgow, Glasgow, United Kingdom, 5Glasgow university, Glasgow, United Kingdom

The infiltration of glioblastoma tumour cells into normal tissue presents a major obstacle to effective treatment, may then be responsible for tumour recurrence after surgery. Clinical MRI failed to detect the invasion of tumour cells. The purpose of this study is to investigate how the information contained in the individual MR images and multi-regression analysis can be used to probe of invasion, applying a mouse model of an infiltrative brain tumour.

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