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Abstract #4817

Investigating the correlation and repeatability of radiomic features derived from Apparent Diffusion Coefficient maps of Soft-Tissue Sarcoma

Imogen Thrussell1, Jessica Winfield1,2, Matthew Orton1, Aisha Miah1,3, Shane Zaidi3, Amani Arthur1, Khin Thway3,4, Dirk Strauss5, David Collins1, Dow-Mu Koh1,2, Uwe Oelfke1, Paul Huang6, Christina Messiou1,2, and Matthew Blackledge1
1Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 2Department of Radiology, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 3Sarcoma Unit, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 4Department of Pathology, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 5Department of Surgery, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 6Division of Molecular Pathology, The Institute of Cancer Research, London, United Kingdom

Soft-tissue sarcomas (STS) are highly heterogeneous and, except for myxoid liposarcomas, changes in size following radiotherapy do not correlate with outcomes or histopathological response. Therefore, conventional size-based criteria fail to accurately assess response. In this study we explore the correlation and repeatability of radiomic features derived from Apparent Diffusion-Coefficient maps in a cohort of 27 patients with confirmed STS with a variety of histopathological subtypes. 19 features were identified that had good repeatability and were considered uncorrelated using hierarchical clustering. These features could be used in future studies to investigate heterogeneous response of STS to radiotherapy.

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