Abstract #2732

Quantitative calculation of breast density with proton density fat fraction enables distinction between latest subjective BI-RADS categories

Isobel Gordon^1,2, George Ralli², Amy Herlihy², Carolina Fernandes², Amy O'Brien³, Sally Collins^1,2, and Michael Brady^2,4

¹Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom, ²Perspectum Ltd., Oxford, United Kingdom, ³Stoke Mandeville Hospital, Buckinghamshire Healthcare NHS Trust, Aylesbury, United Kingdom, ⁴Department of Oncology, University of Oxford, Oxford, United Kingdom

Synopsis

Keywords: Breast, Fat, Breast density

Breast density is a well-established risk factor for breast cancer but conventional visual assessment using mammography has high operator variability. Proton density fat fraction (PDFF) derived from chemical shift encoded (CSE)-MRI has recently been proposed as a quantitative, non-ionising, operator-independent tool for the calculation of breast density. This study demonstrates that breast density derived from PDFF maps which account for a breast-specific fat spectrum can distinguish between the latest density categorisations used in clinical practise and thereby may have use in cancer risk assessment and as a determinant of clinical pathways.

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