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Abstract #1853

Radiomics analysis of multi-parametric MRI in human brain tumours

Martin Lowry 1 , Lawrence Kenning 2 , and Lindsay W Turnbull 1

1 Centre for MR Investigations, Hull York Medical School at University of Hull, Hull, East Yorkshire, United Kingdom, 2 Centre for MR Investigations, University of Hull, Hull, East Yorkshire, United Kingdom

Multi-parametric MRI produces large quantities of data in which parameter associations to tissue characteristics may be hidden. We applied the data mining approach of Radiomics to investigate the information content of a pre-operative multi-parametric MR study of gliomas. The results demonstrate redundancy of some parameters but also that DCE, DSC, and DTI can provide complimentary parameters. Several distinct parameter profiles were associated with high grade lesions but only one with low grade lesions despite variation in known prognostic genetic markers amongst the tumours. The approach shows potential for identifying important associations that could influence treatment or predict survival.

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