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Abstract #0154

Field Cycling Imaging: a novel very low field modality to characterize breast cancer

Vasiliki Mallikourti1, James Ross1, Oliver Maier2, Katie Hanna3, Ehab Husain4, Gareth Davies1, David Lurie1, Gerald Lip4, Hana Lahrech5, Yazan Masannat4, and Lionel Broche1
1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria, 3Institute of Medical Sciences, University of Aberdeen, Aberdeen, United Kingdom, 4Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 5University Grenoble Alpes, Inserm U1205, BrainTech Lab, Grenoble, France

Synopsis

Keywords: Low-Field MRI, Low-Field MRI, breast cancer

Motivation: Field Cycling Imaging (FCI) has never been used in clinics and its capability in medical diagnosis has not yet demonstrated.

Goal(s): Our goal was to demonstrate the capabilities of FCI as an imaging modality to diagnose breast cancer by measuring the T1 variations at low field from 2.3 to 200 mT.

Approach: Ten patients were imaged with our recent FCI prototype scanner and images were compared with standard clinical imaging and histology.

Results: FCI provides relevant biomarkers of molecular dynamics that detect tumours and discriminate invasive from non-invasive tumours. In addition, FCI is insensitive to breast density and provides accurate tumour delineation.

Impact: FCI, which uses variant low field strengths, could complement clinical imaging without contrast agents non-invasively and could improve the estimation of tumour size and resection margins, even for dense breasts, including DCIS which is often under/over-estimated in clinical imaging.

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