Maxime Chauvin1, Damian Borys2, Francesca Botta3, Pawel Bzowski2, Jérémie Dabin4, Ana M Denis-Bacelar5, Aurélie Desbrée6, Nadia Falzone7,8, Boon Quan Lee7,8, Andrea Mairani9,10, Alessandra Malaroda11,12, Gilles Mathieu13, Erin McKay14, Erick Mora-Ramirez1,15, Andrew P Robinson5,16,17, David Sarrut, Lara Struelens4, Alex Vergara Gil1, Manuel Bardiès18. 1. CRCT, UMR 1037, Inserm, Université Toulouse III Paul Sabatier, Toulouse, France. 2. Department of Systems Biology and Engineering, Silesian University of Technology, Gliwice, Poland. 3. Medical Physics Unit, IEO, European Institute of Oncology IRCCS, Milan, Italy. 4. SCK-CEN, Belgian Nuclear Research Centre, Mol, Belgium. 5. National Physical Laboratory, Teddington, United Kingdom. 6. Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Fontenay-aux-Roses, France. 7. MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford, United, Kingdom. 8. GenesisCare, Sydney, New South Wales, Australia. 9. Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany. 10. Medical Physics, National Centre of Oncological Hadrontherapy (CNAO), Pavia, Italy. 11. School of Physics and CMRP, University of Wollongong, Wollongong, New South Wales, Australia. 12. Theranostic and Nuclear Medicine Department, St. Vincent's Public Hospital, Sydney, New South Wales, Australia. 13. Département du Système d'Information, Inserm, Paris, France. 14. St. George Hospital, Sydney, New South Wales, Australia. 15. CICANUM, Escuela de Física, Universidad de Costa Rica, San Jose, Costa Rica. 16. Schuster Laboratory, School of Physics and Astronomy, University of Manchester, Manchester, United Kingdom; and. 17. The Christie NHS Foundation Trust, Manchester, United Kingdom. 18. CRCT, UMR 1037, Inserm, Université Toulouse III Paul Sabatier, Toulouse, France manuel.bardies@inserm.fr.
Abstract
Radiopharmaceutical dosimetry depends on the localization in space and time of radioactive sources and requires the estimation of the amount of energy emitted by the sources deposited within targets. In particular, when computing resources are not accessible, this task can be performed using precomputed tables of specific absorbed fractions (SAFs) or S values based on dosimetric models. The aim of the OpenDose collaboration is to generate and make freely available a range of dosimetric data and tools. Methods: OpenDose brings together resources and expertise from 18 international teams to produce and compare traceable dosimetric data using 6 of the most popular Monte Carlo codes in radiation transport (EGSnrc/EGS++, FLUKA, GATE, Geant4, MCNP/MCNPX, and PENELOPE). SAFs are uploaded, together with their associated statistical uncertainties, in a relational database. S values are then calculated from monoenergetic SAFs on the basis of the radioisotope decay data presented in International Commission on Radiological Protection Publication 107. Results: The OpenDose collaboration produced SAFs for all source region and target combinations of the 2 International Commission on Radiological Protection Publication 110 adult reference models. SAFs computed from the different Monte Carlo codes were in good agreement at all energies, with SDs below individual statistical uncertainties. Calculated S values were in good agreement with OLINDA/EXM 2.0 (commercial) and IDAC-Dose 2.1 (free) software. A dedicated website (www.opendose.org) has been developed to provide easy and open access to all data. Conclusion: The OpenDose website allows the display and downloading of SAFs and the corresponding S values for 1,252 radionuclides. The OpenDose collaboration, open to new research teams, will extend data production to other dosimetric models and implement new free features, such as online dosimetric tools and patient-specific absorbed dose calculation software, together with educational resources.
Radiopharmaceutical dosimetry depends on the localization in space and time of radioactive sources and requires the estimation of the amount of energy emitted by the sources deposited within targets. In particular, when computing resources are not accessible, this task can be performed using precomputed tables of specific absorbed fractions (SAFs) or S values based on dosimetric models. The aim of the OpenDose collaboration is to generate and make freely available a range of dosimetric data and tools. Methods: OpenDose brings together resources and expertise from 18 international teams to produce and compare traceable dosimetric data using 6 of the most popular Monte Carlo codes in radiation transport (EGSnrc/EGS++, FLUKA, GATE, Geant4, MCNP/MCNPX, and PENELOPE). SAFs are uploaded, together with their associated statistical uncertainties, in a relational database. S values are then calculated from monoenergetic SAFs on the basis of the radioisotope decay data presented in International Commission on Radiological Protection Publication 107. Results: The OpenDose collaboration produced SAFs for all source region and target combinations of the 2 International Commission on Radiological Protection Publication 110 adult reference models. SAFs computed from the different Monte Carlo codes were in good agreement at all energies, with SDs below individual statistical uncertainties. Calculated S values were in good agreement with OLINDA/EXM 2.0 (commercial) and IDAC-Dose 2.1 (free) software. A dedicated website (www.opendose.org) has been developed to provide easy and open access to all data. Conclusion: The OpenDose website allows the display and downloading of SAFs and the corresponding S values for 1,252 radionuclides. The OpenDose collaboration, open to new research teams, will extend data production to other dosimetric models and implement new free features, such as online dosimetric tools and patient-specific absorbed dose calculation software, together with educational resources.
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