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Abstract #1789

Multi-Centre patients receiving lithium treatment for bipolar disorder: 7Li-MRI optimization using a physiologically representative phantom

Karthik Chary1, Franck Mauconduit2, Fiona Smith1, Marie Chupin3, Emmanuelle Gourieux2,3, Laura Pelizzari4, Karen Kettless5, Kristoffer Brendstrup-Brix6, Eva Mezger7, Daniel Keeser7, Olaf Dietrich8, Tim Wesemann9, Philipp Ritter10, Annett Werner9, Letizia Squarcina11, Paolo Brambilla11,12, Frank Bellivier13, Fawzi Boumezbeur2, David Cousins1,14, and Pete Thelwall1
1Translational and Clinical Research Institute, Newcastle Magnetic Resonance Centre, Newcastle University, Newcastle upon Tyne, United Kingdom, 2NeuroSpin, CEA, CNRS, Paris-Saclay University, Gif-sur-Yvette, France, 3CATI, Institut du Cerveau et de la Moëlle Epinière, Paris, France, 4IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy, 5Siemens Healthcare A/S & Siemens Healthcare GmbH, Copenhagen, Denmark, 6Neurobiology Research Unit (NRU) at Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark, 7Department of Psychiatry and Psychotherapy, University Hospital, LMU University, Munich, Germany, 8Department of Radiology, University Hospital, LMU Munich, Munich, Germany, 9Institute and Clinic of Diagnostic and Interventional Neuroradiology, University Hospital, Carl Gustav Carus, Dresden, Germany, 10Department of Psychiatry, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, 11Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy, 12Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy, 13INSERM UMRS-1144, AP-HP, Saint-Louis - Lariboisière – F. Widal Hospitals, Paris, France, 14Regional Affective Disorders Service, Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle Upon Tyne, United Kingdom

7Li-MRI is a unique technique to trace the brain lithium distribution, which may predict treatment response in bipolar disorder. The signal-to-noise ratio in balanced steady state free precession acquisition protocols (bSSFP) for 7Li-MRI can be efficiently optimized using physiologically representative phantoms. We sought to implement and validate a bSSFP protocol to maximize 7Li signal amplitude using theoretical modelling and phantom acquisitions, further validating the sequence across multiple centres, ensuring data harmonization. bSSFP signal modelling and phantom data demonstrated good agreement, with minimal inter-site variation in signal-to-noise confirming suitability for use in our multi-centre study of lithium response in bipolar disorder.

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