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 Sidhu^1,2, Manil Chouhan^1,2, Athar Haroon³, Asim Afaq⁴, Reena Davda⁵, Heather Payne⁵, Hashim Ahmed⁶, and Shonit Punwani^1,2

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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.