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

Adeleke, S; (2019) Fat fraction provides classification and treatment response assessment of metastatic lymph nodes for patients with radio-recurrent prostate cancer. Presented at: ISMRM 27th Annual Meeting and Exhibition, Montreal, QC, Canada. Green open access

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Abstract

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.

Type: Conference item (UNSPECIFIED)
Title: Fat fraction provides classification and treatment response assessment of metastatic lymph nodes for patients with radio-recurrent prostate cancer
Event: ISMRM 27th Annual Meeting and Exhibition
Location: Montreal, QC, Canada
Dates: 11-16 May 2019
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.ismrm.org/19/program_files/Tu02.htm
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: MRI, Prostate cancer, Radio-recurrence, Signal Fat fraction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Experimental and Translational Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > UCL Medical School
URI: https://discovery.ucl.ac.uk/id/eprint/10078201
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