Ionization Detail Parameters for DNA Damage Evaluation in Charged Particle Radiotherapy: Simulation Study Based on Cell Survival Database

Author:

Mietelska Monika12ORCID,Pietrzak Marcin23ORCID,Bancer Aleksandr2ORCID,Ruciński Antoni4ORCID,Szefliński Zygmunt5ORCID,Brzozowska Beata1ORCID

Affiliation:

1. Biomedical Physics Division, Institute of Experimental Physics, Faculty of Physics, University of Warsaw, 02-093 Warsaw, Poland

2. Radiological Metrology and Biomedical Physics Division, Nuclear Facilities Operations Department, National Centre for Nuclear Research, 05-400 Świerk, Poland

3. Laboratory of Translational Imaging in Oncology, Inserm, Institut Curie, Université Paris Saclay, 91401 Orsay, France

4. Institute of Nuclear Physics PAS, 31-342 Krakow, Poland

5. Heavy Ion Laboratory, University of Warsaw, 02-093 Warsaw, Poland

Abstract

Details of excitation and ionization acts hide a description of the biological effects of charged particle traversal through living tissue. Nanodosimetry enables the introduction of novel quantities that characterize and quantify the particle track structure while also serving as a foundation for assessing biological effects based on this quantification. This presents an opportunity to enhance the planning of charged particle radiotherapy by taking into account the ionization detail. This work uses Monte Carlo simulations with Geant4-DNA code for a wide variety of charged particles and their radiation qualities to analyze the distribution of ionization cluster sizes within nanometer-scale volumes, similar to DNA diameter. By correlating these results with biological parameters extracted from the PIDE database for the V79 cell line, a novel parameter R2 based on ionization details is proposed for the evaluation of radiation quality in terms of biological consequences, i.e., radiobiological cross section for inactivation. By incorporating the probability p of sub-lethal damage caused by a single ionization, we address limitations associated with the usually proposed nanodosimetric parameter Fk for characterizing the biological effects of radiation. We show that the new parameter R2 correlates well with radiobiological data and can be used to predict biological outcomes.

Funder

Polish National Science Centre

National Center for Nuclear Research for research activities of early-stage researchers

Publisher

MDPI AG

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