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Updated: Dec 26, 2025

A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods
Published on: April 24, 2020
OpenDose: Open-Access Resource for Nuclear Medicine Dosimetry
Maxime Chauvin1, Damian Borys2, Francesca Botta3
1CRCT, UMR 1037, Inserm, Université Toulouse III Paul Sabatier, Toulouse, France.
The OpenDose collaboration provides free, traceable radiopharmaceutical dosimetry data, including specific absorbed fractions (SAFs) and S values for 1,252 radionuclides. This open-access resource aids in radiation dose calculations for medical applications.
Area of Science:
- Medical Physics
- Radiological Dosimetry
- Nuclear Medicine
Background:
- Accurate radiopharmaceutical dosimetry requires precise localization of radioactive sources and energy deposition estimation.
- Precomputed specific absorbed fractions (SAFs) and S values are crucial for dosimetric models, especially when computational resources are limited.
Purpose of the Study:
- To generate and freely disseminate traceable dosimetric data and tools through the OpenDose collaboration.
- To establish a comprehensive, open-access database of SAFs and S values for various radionuclides and reference models.
Main Methods:
- Utilized six leading Monte Carlo radiation transport codes (EGSnrc/EGS++, FLUKA, GATE, Geant4, MCNP/MCNPX, PENELOPE) involving 18 international teams.
- Generated SAFs for all source-target combinations within the ICRP Publication 110 adult reference models.
- Calculated S values from monoenergetic SAFs using ICRP Publication 107 decay data.
Main Results:
- Produced SAFs for 1,252 radionuclides, showing good agreement across different Monte Carlo codes.
- Validated calculated S values against established software (OLINDA/EXM 2.0 and IDAC-Dose 2.1).
- Developed a dedicated website (www.opendose.org) for open access to all generated dosimetric data.
Conclusions:
- The OpenDose website provides readily accessible SAFs and S values, supporting radiation dosimetry applications.
- Future plans include expanding data to other models and introducing online tools for patient-specific dose calculations and educational resources.
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