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Abstract #0372

Fat-fraction provides classification and treatment response assessment of metastatic lymph nodes for patients with radio-recurrent prostate cancer

Olusola Michael Adeleke1, Arash Latifoltojar1, Harbir Sidhu1,2, Manil Chouhan1,2, Athar Haroon3, Asim Afaq4, Reena Davda5, Heather Payne5, Hashim Ahmed6, and Shonit Punwani1,2

1Centre for medical imaging, University College London, London, United Kingdom, 2Dept of Radiology, University College London Hospital(UCLH), London, United Kingdom, 3Department of Radiology & Nuclear Medicine, St Bartholomew’s Hospital, London, United Kingdom, 4Institute of Nuclear Medicine (INM), University College London Hospital (UCLH), London, United Kingdom, 5Department of Oncology, University College London Hospital (UCLH), London, United Kingdom, 6epartment of Surgery & Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom

Lesion size threshold is the most common imaging feature used to assess response to therapy. Size as an imaging feature has its limitations. Quantitative imaging biomarkers (QIBs) could identify subtle microstructural changes prior to morphological changes. In this study, we explored the use of novel whole-body MRI (WB-MRI) QIBs for nodal disease characterisation and treatment response monitoring in radio-recurrent prostate cancer (rPC). We showed signal fat fraction could discriminate between positive and negative nodes and that it can be used for response monitoring.

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