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Abstract #1297

Profiling lipid composition in whole breast tumours using two dimensional (2D) double quantum filtered (DQF) correlation spectroscopy (COSY) and multiple quantum coherence (MQC) magnetic resonance spectroscopy (MRS)

Sai Man Cheung1, Ehab Husain2,3, Yazan Masannat3,4, Vasiliki Mallikourti1, Steven D Heys3,4, and Jiabao He1

1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3School of Medicine, University of Aberdeen, Aberdeen, United Kingdom, 4Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom

Changes in lipid composition, such as polyunsaturated fatty acids (PUFA), have found to be potential biomarker of breast cancer. It has been shown that PUFA has a role in breast cancer initiation. The relationship in human between lipid composition and breast tumour grading warrants urgent investigation, as a pathway towards improved treatment. Conventional MRS suffers from overlap of nearby lipid and water peaks, and is insufficient for lipid composition measurement. We conducted double quantum filtered (DQF) correlation spectroscopy (COSY) to resolve lipid composition from the whole breast tumour, and multiple quantum coherence (MQC) MRS for further close investigation of PUFA.

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