In recent years, there has been an increasing focus on investigating the role of Tau in the onset and progression of Alzheimer’s Disease (AD), and in other neurodegenerative diseases associated with the accumulation of pathological misfolded Tau, such as progressive supranuclear palsy (PSP) and frontotemporal lobar degeneration (FTLD). Studies using recently introduced second-generation Tau tracers suggests that these tracers are binding to Tau with higher specificity compared to previous tracers, leading to increased interest in Tau within clinical studies. However, it’s still unclear what role Tau imaging will play in clinical trials: should Tau be used as a clinical endpoint; and how does it link to other biomarkers such as amyloid-beta, with some studies suggesting that amyloid-beta triggers the spread of Tau beyond the MTL region.
Given that the majority of Tau studies have been conducted using first-generation PET tracers, which had shown high incidences of off-site binding, it will be important to review the current data to understand what we know about Tau in AD and how second-generation tracers are being applied in clinical studies. Additionally, this webinar will cover the steps being taken to advance Tau PET operational and analytical methodologies in AD clinical studies and other Tau-related neurodegenerative diseases.
Presenters:
Victor L. Villemagne, Associate Professor, Department of Medicine, Department of Molecular Imaging and Therapy, Centre for PET, Austin Health, The Florey Institute of Neuroscience and Mental Health, The University of Melbourne
Richard Manber, Biomarker Scientist, IXICO
What You Will Learn:
- Overview: The role of Tau in disease progression
- Importance of Tau PET imaging and analysis in clinical trials
- Comparison of the various Tau PET tracers available
- Challenges of implementing Tau PET imaging into clinical studies (incl. CenTauRz scale)
- Understanding the advances in the operational delivery of Tau PET capabilities
- Recent research addressing the optimization of Tau PET image analysis methodologies
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