Drug Development

Area of Science:

• Neuroimaging
• Biomarker Development
• Clinical Trials

Background:

• The HEAD study aims to standardize tau positron emission tomography (PET) tracers for clinical trials.
• Current access to the standardized Uniτ scale is limited.
• The Uniτ Ecosystem was developed to broaden access to these harmonization tools.

Purpose of the Study:

• To introduce the Uniτ Ecosystem, a suite of tools for harmonizing tau PET data.
• To provide researchers and clinicians with accessible methods for standardizing tau PET imaging.
• To support anti-tau therapeutic development through improved biomarker analysis.

Main Methods:

• Developed a multi-platform (Web, macOS, Windows, Ubuntu) Uniτ Ecosystem with four tools: online ROI harmonization, R/Python/MATLAB packages, a calculator app, and a 3D desktop app.
• Calculated Uniτ parameters using a training set of 290 participants with head-to-head tau PET scans (Flortaucipir, MK6240, PI2620, RO948).
• Enabled users to harmonize their own tau PET data (SUVRs) to the Uniτ scale using various programming languages and applications.

Main Results:

• The online module harmonizes SUVRs from spreadsheets with interactive visualizations.
• The calculator app provides effortless single-value harmonization.
• The desktop app performs voxel-wise 3D harmonization without predefined ROIs, offering 2D/3D visualization of parametric images.
• All Uniτ tools ensure data privacy by not storing information on external servers.

Conclusions:

• The Uniτ Ecosystem provides a user-friendly platform for tau PET data harmonization and visualization.
• This advancement facilitates broader research and clinical trial applications in tau PET imaging.
• The tools democratize access to standardized tau PET analysis, crucial for therapeutic development.