A benchmarking study of Geant4 for Auger electrons emitted by medical radioisotopes.

Détails

ID Serval
serval:BIB_0147FC91ED96
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A benchmarking study of Geant4 for Auger electrons emitted by medical radioisotopes.
Périodique
Applied radiation and isotopes
Auteur⸱e⸱s
Bakr S., Kibédi T., Tee B., Bolst D., Vos M., Alotiby M., Desorgher L., Wright D.H., Mantero A., Rosenfeld A., Ivanchenko V., Incerti S., Guatelli S.
ISSN
1872-9800 (Electronic)
ISSN-L
0969-8043
Statut éditorial
Publié
Date de publication
08/2021
Peer-reviewed
Oui
Volume
174
Pages
109777
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Auger emitting radioisotopes are of great interest in targeted radiotherapy because, once internalised in the tumour cells, they can deliver dose locally to the radiation sensitive targets, while not affecting surrounding cells. Geant4 is a Monte Carlo code widely used to characterise the physics mechanism at the basis of targeted radiotherapy. In this work, we benchmarked the modelling of the emission of Auger electrons in Geant4 deriving from the decay of <sup>123</sup> I, <sup>124</sup> I, <sup>125</sup> I radionuclides against existing theoretical approaches. We also compared Geant4 against reference data in the case of <sup>131</sup> Cs, which is of interest for brachytherapy. In the case of <sup>125</sup> I and <sup>131</sup> Cs, the simulation results are compared to experimental measurements as well. Good agreement was found between Geant4 and the reference data. As far as we know, this is the first study aimed to benchmark against experimental measurements the emission of Auger electrons in Geant4 for radiotherapy applications.
Mots-clé
Benchmarking, Electrons, Monte Carlo Method, Radiopharmaceuticals/chemistry, Auger electron, Geant4, Monte Carlo, Radioactive decay
Pubmed
Web of science
Création de la notice
15/06/2021 9:12
Dernière modification de la notice
20/01/2024 8:13
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