Year: 2020
Type: article
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.
Source: Journal of Nuclear Medicine
Authors: Maxime Chauvin, Damian Borys, Francesca Botta, Pawel Bzowski, Jérémie Dabin, Ana M. Denis-Bacelar, Aurélie Desbrée, Nadia Falzone, Boon Quan Lee, Andrea Mairani, Alessandra Malaroda, Gilles Mathieu, Erin McKay, Erick Mora-Ramirez, Andrew P. Robinson, David Sarrut, Lara Struelens, Alex Vergara Gil, Manuel Bardiès
Institutions: Université Toulouse III - Paul Sabatier, Inserm, Centre de Recherches en Cancérologie de Toulouse, Silesian University of Technology, European Institute of Oncology, Belgian Nuclear Research Centre, National Physical Laboratory, Institut de Radioprotection et de Sûreté Nucléaire, University of Oxford, CRUK/MRC Oxford Institute for Radiation Oncology, GenesisCare, University Hospital Heidelberg, National Center for Oncological Hadrontherapy, University of Wollongong, St Vincent’s Private Hospital Sydney, St George Hospital, Universidad de Costa Rica, University of Manchester, The Christie NHS Foundation Trust
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Funders: Indian National Science Academy, National Computational Infrastructure, Australian Government, Agence Nationale de la Recherche, Institut National de la Santé et de la Recherche Médicale, Institut de Radioprotection et de SÛreté Nucléaire, Centre National de la Recherche Scientifique, Universitat de Barcelona, Università di Bologna, Institut National Du Cancer, Université de Lausanne, Centre Hospitalier Universitaire Vaudois, Universidade Federal de Minas Gerais, Silesian University of Technology, Università degli Studi di Messina, Institut National des Sciences Appliquées de Lyon, Direction Générale de l’offre de Soins, Université de Lyon, Istituto Nazionale di Fisica Nucleare, Centre Léon Bérard, LabEx PRIMES, National Cancer Institute
OpenAlex ID: W3011631024