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Abstract #1143

Does breast peritumoral tissue hold valuable information for texture analysis?

Michael Fox 1 , Peter Gibbs 1 , Martin Pickles 1 , and Lindsay W. Turnbull 1

1 Centre for MR Investigations, HYMS at University of Hull, Hull, East Yorkshire, United Kingdom

The performance of GLCM texture analysis is dependent on a well-drawn ROI segmenting a tumour from healthy surrounding tissue. There may be changes to the surrounding tissue in breast cancer patients which can be an indicator of tumour status, or response prediction. Software was developed to incrementally expand the ROI for 100 patients and compare the performance of GLCM texture analysis against previously recorded values. An increase in number of differences between TNEG patient sub-groups was found when peritumoral tissue was included, and performance was comparable for other patient sub-groups, suggesting surrounding tissue should be included in analysis.

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