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A Monte Carlo-Based Small Animal Dosimetry Platform for Pre-Clinical Trials: Proof of Concept


B Bednarz

B Bednarz*, A Besemer, Y Yang, University of Wisconsin, MADISON, WI

TU-C-BRB-4 Tuesday 10:30:00 AM - 12:30:00 PM Room: Ballroom B

Purpose: The development of novel agents for targeted radionuclide therapy has led to an important need for accurate dosimetry characterization during pre-clinical trials. The purpose of this study is to discuss our progress in developing a fully automated Monte Carlo-based dosimetry platform for external and/or internal absorbed dose quantification in small animals.

Methods: The dosimetry platform was built entirely around the Monte Carlo code Geant4 version 9.3. CT and PET image datasets of a mouse injected with CLR1404, a novel tumor target pharmaceutical that is tagged with both I-124 and I-131 for imaging and therapy, were used for this preliminary study. The activity distribution in the tumor acquired from the PET scan was modeled as a simple spherical source. The same CT image set was used to generate external dose distributions from a 6 MV photon beam spectrum.

Results: The external dose distributions from the 6 MV photon source and the internal dose distributions from CLR1404 were combined to get a relative dose distribution within the mouse.

Conclusions: We provided a proof-of-concept for a fully automated dose calculation platform in small animals that can be used for developing protocols for pre-clinical trials. We are currently working on additional modifications to better represent both the external beam source for our small animal irradiator as well as the activity distributions gathered by the PET scan.

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