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Published on: August 8, 2019
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Kinetic models for estimating occupancy from single-scan PET displacement studies.
Gjertrud Louise Laurell1,2, Pontus Plavén-Sigray1, Annette Johansen1,2
1Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark.
Summary
This study introduces novel kinetic models for Positron Emission Tomography (PET) displacement scans, enabling accurate target engagement assessment with reduced radiation exposure and costs. The new models allow precise drug occupancy estimation from a single scan, improving efficiency in pharmaceutical research.
Area of Science:
- Nuclear medicine
- Pharmacology
- Biophysics
Background:
- Traditional PET target engagement studies require multiple scans, increasing radiation exposure and costs.
- Existing kinetic models assume steady-state conditions, which are not met during drug displacement scans.
Purpose of the Study:
- To develop and validate kinetic models for analyzing PET drug displacement data.
- To enable accurate target engagement assessment using a single, in-scan drug administration approach.
Main Methods:
- Modified existing PET compartment models to account for time-variant occupancy during in-scan drug administration.
- Developed approximate and numerical solutions for the resulting differential equations.
- Validated the models using simulations and applied them to PET data from pigs undergoing [11C]UCB-J displacement with brivaracetam.
Main Results:
- Simulations demonstrated unbiased and accurate occupancy estimation at relatively high levels.
- The developed models accurately estimated the dose-occupancy relationship in pigs.
- Results showed good agreement with traditional methods like the Lassen plot.
Conclusions:
- The proposed kinetic models offer a robust framework for determining target occupancy from single PET displacement scans.
- This approach reduces radiation exposure and costs associated with PET target engagement studies.
- The findings support the adoption of PET displacement studies as a more efficient alternative.

