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Abstract #2954

Lactate detection in breast cancer using optimised multiple quantum coherence MR spectroscopy and effective phased-array signal combination 

Vasiliki Mallikourti1, Sai Man Cheung1, Yazan Masannat2, Tanja Gagliardi 3,4, Steven Heys1,2, and Jiabao He1
1Institute of Medical Sciences, School of Medicine, University of Aberdeen, Aberdeen, United Kingdom, 2Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3Department of Clinical Radiology, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 4Department of Radiology, Royal Marsden Hospital, London, United Kingdom

Lactate, as a central metabolite in aerobic glycolysis, is associated with cancer aggressiveness and disease progression. The non-invasive detection of lactate in breast cancer requires the minimal contamination signal from high amplitude lipid signal and maximal amplitude lactate signal, demanding the optimisation of coherent pathway encoding gradients and sequence timing in multiple quantum coherence (MQC) MRS. Furthermore, phased-array coils allows additional signal gain through appropriate combination algorithms. Adaptively optimised combination (AOC) coupled with the optimal MQC gradient at 50 ms mT m-1 provided more than 40% improvement of lactate SNR with complete lipid suppression.

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