Abstract #4817

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

Imogen Thrussell¹, Jessica Winfield^1,2, Matthew Orton¹, Aisha Miah^1,3, Shane Zaidi³, Amani Arthur¹, Khin Thway^3,4, Dirk Strauss⁵, David Collins¹, Dow-Mu Koh^1,2, Uwe Oelfke¹, Paul Huang⁶, Christina Messiou^1,2, 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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