Abstract #3658

Developing a multi-parametric model of response based on biomarkers derived from Whole-Body Diffusion Weighted Imaging

Antonio Candito¹, Matthew D Blackledge¹, Fabio Zugni², Richard Holbrey¹, Sebastian Schäfer³, Matthew R Orton¹, Ana Ribeiro⁴, Matthias Baumhauer³, Nina Tunariu¹, and Dow-Mu Koh¹

¹The Institute of Cancer Research, London, United Kingdom, ²IEO, European Institute of Oncology IRCCS, Milan, Italy, ³Mint Medical, Heidelberg, Germany, ⁴The Royal Marsden NHS Foundation Trust, London, United Kingdom

We develop a model of treatment response in patients with advanced prostate cancer (APC), based on measurements of median Apparent Diffusion Coefficient (ADC) and tumour Diffusion Volume (tDV) derived using Whole-Body Diffusion Weighted Imaging (WBDWI) and blood biomarkers. The model showed that change in ADC is positively correlated with response in this patient population. Furthermore, our model predicted response with an accuracy of 87%, and sensitivity/specificity of 75/93% using a probability cut-off of 0.5.

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