The ISOLPHARM project, headed by INFN–LNL, is aimed at the production of exotic radionu-clides of medical interest employing the Isotope Separation On-Line (ISOL) technique to develop innovativeradiopharmaceuticals. In t he last few years, the project has been focusing on the β-emitter silver-111 as apossible theranostic candidate for RadioNuclide Therapy (RNT). In this scenario, the therapeutic efficacyof radiolabelled compounds on cancer cells can be assessed by radiobiological trials, with the evaluation ofthe surviving fraction. The radiobiology of RNT is quite different from the one developed using externalradiation beams, since it is characterised by lower dose rate, longer exposure and dependence on recep-tor–ligand kinetics. A biophysical model taking into account all these factors has been recently proposedby the ISOLPHARM collaboration and efforts are now being made to benchmark it with existing data.The key concept of the model is the subdivision of the cell culture in compartments with a progressivenumber of complex DNA lesions, while its purpose is to predict the time evolution of the irradiated cellpopulation and, contextually, obtain a precise estimate of the dose rate per cell. The comparison of thepredictions of the model with a reference study on Auger therapy using iodine-125 shows that a goodagreement can be reached in almost all conditions studied under the assumption that the entire systemdynamics is regulated by severe DNA lesions with 1% misrepair probability. The benchmark procedurealso takes advantage of the Geant4-DNA Monte Carlo toolkit for the assessment of the model parametersidentifying these lesions.

Arzenton, A., Leso, A., Serafini, D., Mariotti, E., Lunardon, M., Bortolussi, S., et al. (2025). Benchmark of a biophysical model for the radiobiology of RNT with 125I-labelled agents. THE EUROPEAN PHYSICAL JOURNAL. SPECIAL TOPICS [10.1140/epjs/s11734-025-01752-3].

Benchmark of a biophysical model for the radiobiology of RNT with 125I-labelled agents

Arzenton, Alberto;Serafini, Davide;Mariotti, Emilio;
2025-01-01

Abstract

The ISOLPHARM project, headed by INFN–LNL, is aimed at the production of exotic radionu-clides of medical interest employing the Isotope Separation On-Line (ISOL) technique to develop innovativeradiopharmaceuticals. In t he last few years, the project has been focusing on the β-emitter silver-111 as apossible theranostic candidate for RadioNuclide Therapy (RNT). In this scenario, the therapeutic efficacyof radiolabelled compounds on cancer cells can be assessed by radiobiological trials, with the evaluation ofthe surviving fraction. The radiobiology of RNT is quite different from the one developed using externalradiation beams, since it is characterised by lower dose rate, longer exposure and dependence on recep-tor–ligand kinetics. A biophysical model taking into account all these factors has been recently proposedby the ISOLPHARM collaboration and efforts are now being made to benchmark it with existing data.The key concept of the model is the subdivision of the cell culture in compartments with a progressivenumber of complex DNA lesions, while its purpose is to predict the time evolution of the irradiated cellpopulation and, contextually, obtain a precise estimate of the dose rate per cell. The comparison of thepredictions of the model with a reference study on Auger therapy using iodine-125 shows that a goodagreement can be reached in almost all conditions studied under the assumption that the entire systemdynamics is regulated by severe DNA lesions with 1% misrepair probability. The benchmark procedurealso takes advantage of the Geant4-DNA Monte Carlo toolkit for the assessment of the model parametersidentifying these lesions.
2025
Arzenton, A., Leso, A., Serafini, D., Mariotti, E., Lunardon, M., Bortolussi, S., et al. (2025). Benchmark of a biophysical model for the radiobiology of RNT with 125I-labelled agents. THE EUROPEAN PHYSICAL JOURNAL. SPECIAL TOPICS [10.1140/epjs/s11734-025-01752-3].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1296434