FIRE: A compact nanodosimeter detector based on ion amplification in gas

Vasi, Fabiano; Kempf, Irina; Besserer, Jürgen; Schneider, Uwe

doi:10.1016/j.nima.2021.165116

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…The possibility of the direct measurement of a biologically relevant nanodosimetric parameter is the key idea that drives the development of a small device that could be easily and routinely used in the clinical environment. The recent advancements in the thick-GEM technology [19,20] suggest that such a device can be proposed in a few years.…”

Section: Discussionmentioning

confidence: 99%

“…Such experimental setups are not unthinkable and were in fact proposed recently [22][23][24]. However, the level of complication of these experiments prevents the use of such methods in a clinical environment, especially given that miniaturized nanodosimeters still struggle to provide even a single target model [19,20]. In conclusion, since we cannot define any radiation quality factor in isolation from the properties of the biological system, we should take at least this minimal step and account for the finite probability p of converting an ionization into a lesion.…”

Section: Discussionmentioning

confidence: 99%

“…The source was a pencil beam of 1 H, 4 He, 7 Li, 11 B, 12 C, 14 N, 16 O, 28 Si to provide various radiation qualities and consistency with radiobiological data. Since Geant4-DNA can only simulate ionization caused by incident ions predominant in the cosmic spectrum, direct results for 20 Ne were not available, leading to interpolation using 12 C, 14 N, 16 O, and 28 S. The interpolation method was tested for 16 O using 12 C, 14 N, and 28 S, yielding very good agreement with the result of the direct simulation for 16 O. We used about 40 different energy points from 0.2 to 1000 MeV to evenly cover the whole energy range on a logarithmic scale.…”

Section: Monte Carlo Simulationsmentioning

confidence: 99%

“…All remaining ions are classified as heavy ions. We narrowed studies to irradiation modalities labeled as monoenergetic and ions ranging from protons through neon 20 Ne , covering the LET range up to 528 keV/µm, which includes 152 survival curves. We used the LQ coefficients fitted by the authors of the PIDE database.…”

Section: Radiobiological Datamentioning

confidence: 99%

See 3 more Smart Citations

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

Mietelska,

Pietrzak,

Bancer

et al. 2024

IJMS

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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.

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Section: Discussionmentioning

confidence: 99%