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 Gourieux^2,3, Laura Pelizzari⁴, Karen Kettless⁵, Kristoffer Brendstrup-Brix⁶, Eva Mezger⁷, Daniel Keeser⁷, Olaf Dietrich⁸, Tim Wesemann⁹, Philipp Ritter¹⁰, Annett Werner⁹, Letizia Squarcina¹¹, Paolo Brambilla^11,12, Frank Bellivier¹³, Fawzi Boumezbeur², David Cousins^1,14, 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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