Ionization-cluster distributions of α-particles in nanometric volumes of propane: measurement and calculation

Nardo, L. De; Colautti, P.; Conte, V.; Baek, Woon Yong; Großwendt, B.; Tornielli, G.

doi:10.1007/s00411-002-0171-6

Cited by 50 publications

(21 citation statements)

References 58 publications

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“…To what extent the properties of track-structure measurements in 20 nm-sized sites are significant to describe the effectiveness of different radiations to induce radiobiological damage, is a matter for future investigations. On the other hand, our measurements validate the used Monte Carlo simulation code (see also De Nardo et al (2002a) and Garty et al (2002a)), which in its core part has also been validated by the independent track-structure measurements performed in propane gas with positive ion-counting techniques (Bashkirov et al 2009). Therefore, the code can be used confidently to investigate the track structure of charged particles in propane volumes of different sizes at arbitrary detection efficiencies.…”

Section: Discussionsupporting

confidence: 67%

“…Track-structure measurements are affected by a background contribution from spurious pulses, like those due to false coincidences by cosmic rays (De Nardo et al 2002a). In order to reduce this background, at each impact parameter two sets of measurements are always performed (one that includes the information from track structure and another that only includes the background), and an unfolding procedure is applied to the measured clustersize distributions.…”

Section: Experimental Set-up and Methodsmentioning

confidence: 99%

“…Whereas the determination of a three-dimensional track-structure description according to equation (1) is possible by performing Monte Carlo simulations, it is not yet possible experimentally to determine the whole ensemble of single particle interaction points forming a particle track including the local energy deposits transferred to matter, and the atomic or molecular species induced at each point of particle interaction. It is, however, possible to measure the clustering of ionizing particle interactions in gaseous volumes of propane with sizes the masses per area of which are comparable with those of nanometre-sized volumes of liquid water as a substitute for the most radiation sensitive structures of cell nuclei, using lowenergy electron counting techniques (De Nardo et al 2002a). Here, it is assumed (i) that the main features of particle track structure can be described by the frequency distribution of the number of ionizations (the so-called ionization cluster size), which are induced per primary particle in a specified nanometric target volume, V, and (ii) that frequency distributions of cluster size measured in propane at an appropriate gas pressure and volume size are equivalent to those induced by charged particles in nanometre-sized volumes of liquid water (Grosswendt 2004).…”

Section: Particle Track Structurementioning

confidence: 99%

“…For more details on the simulation of the track component due to secondary electron interactions and for the reliability of the used set of electron cross sections, see again De Nardo et al (2002a).…”

Section: Simulation Of the Track Component Due To Secondary Electronsmentioning

confidence: 99%

“…as a function of the impact parameter with respect to the primary ion trajectory (De Nardo et al 2002a, 2007, Conte et al 2011.…”

mentioning

confidence: 99%

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Track structure of light ions: experiments and simulations

et al. 2012

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To study the track structure of light ions, a measuring device has been developed at the Legnaro National Laboratory of INFN, which can be used to investigate separately the penumbra region of particle tracks and the trackcore region, which is a few nanometres in diameter. The device is based on single-electron counting techniques by means of a gas detector; it simulates a 'nanometre-sized' biological volume of about 20 nm in diameter that can be moved with respect to a narrow particle beam to measure the ionizationcluster-size distributions caused within the target volume by the passage of single primary particles, as a function of the impact parameter. To investigate the ionization-cluster-size formation caused by primary particles of medical interest when they penetrate through or pass by the target volume at a specified impact parameter, measurements and Monte Carlo simulations were performed for 20 MeV protons, 16 MeV deuterons, 48 MeV 6 Li-ions, 26.7 MeV 7 Li-ions and 96 MeV 12 C-ions. The detailed analysis of the resulting distributions showed that in the track-core region their shape is mainly determined by the mean free ionization path length of the primary particles, whereas in the penumbra region the shape of the distributions is almost independent of the impact parameter, and also of the particle type and velocity.

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Section: Discussionsupporting

confidence: 67%

Section: Experimental Set-up and Methodsmentioning

confidence: 99%

Section: Particle Track Structurementioning

confidence: 99%

Section: Simulation Of the Track Component Due To Secondary Electronsmentioning

confidence: 99%

“…as a function of the impact parameter with respect to the primary ion trajectory (De Nardo et al 2002a, 2007, Conte et al 2011.…”

mentioning

confidence: 99%

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Track structure of light ions: experiments and simulations

et al. 2012

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Primary study of the relative and compound biological effectiveness model for boron neutron capture therapy based on nanodosimetry

Mao,

Zhang,

Luo

et al. 2024

Medical Physics

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BackgroundThe current radiobiological model employed for boron neutron capture therapy (BNCT) treatment planning, which relies on microdosimetry, fails to provide an accurate representation the biological effects of BNCT. The precision in calculating the relative biological effectiveness (RBE) and compound biological effectiveness (CBE) plays a pivotal role in determining the therapeutic efficacy of BNCT. Therefore, this study focuses on how to improve the accuracy of the biological effects of BNCT.PurposeThe purpose of this study is to propose new radiation biology models based on nanodosimetry to accurately assess RBE and CBE for BNCT.MethodsNanodosimetry, rooted in ionization cluster size distributions (ICSD), introduces a novel approach to characterize radiation quality by effectively delineating RBE through the ion track structure at the nanoscale. In the context of prior research, this study presents a computational model for the nanoscale assessment of RBE and CBE. We establish a simplified model of DNA chromatin fiber using the Monte Carlo code TOPAS‐nBio to evaluate the applicability of ICSD to BNCT and compute nanodosimetric parameters.ResultsOur investigation reveals that both homogeneous and heterogeneous nanodosimetric parameters, as well as the corresponding biological model coefficients α and β, along with RBE values, exhibit variations in response to varying intracellular 10B concentrations. Notably, the nanodosimetric parameter effectively captures the fluctuations in model coefficients α and RBE.ConclusionOur model facilitates a nanoscale analysis of BNCT, enabling predictions of nanodosimetric quantities for secondary ions as well as RBE, CBE, and other essential biological metrics related to the distribution of boron. This contribution significantly enhances the precision of RBE calculations and holds substantial promise for future applications in treatment planning.

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Biophysics Modeling to Optimize Ion Beam Cancer Therapy

Beuve

2016

Nanoscale Insights Into Ion-Beam Cancer Therapy

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International audienceThe optimization of treatments by Ion Beam Cancer Therapy (IBCT) relies on modeling to simulate the transport of the incident ions (and the secondary particles) into patients, and, to predict the biological effects induced by all these particles. Considering the complexity of biological systems, multi-scale approaches seem necessary to build the bridge between the primary physical and chemicals events and the consequences for patients both in healthy tissues and tumors. After a brief history of IBCT in France, this chapter presents models used to estimate the probability of tumor control by IBCT, showing the importance of predicting the survival of biological cells to complex irradiation. Then, follows a presentation and analysis of models predicting cell survival to irradiation with ions, including: the procedure developed in Japan for cancer treatments with passive beams; the microdosimetry models TDRA and MKM, and, the MMKM, a modified version of MKM used for active beam in Japan; the Katz models and the LEM, which is presently used by the European centers of therapy with carbon ions. Then, as perspectives, modeling based on nanodosimetry will be addressed with a focus on the NanOxTMmode

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Ionization-cluster distributions of α-particles in nanometric volumes of propane: measurement and calculation

Cited by 50 publications

References 58 publications

Track structure of light ions: experiments and simulations

Track structure of light ions: experiments and simulations

Primary study of the relative and compound biological effectiveness model for boron neutron capture therapy based on nanodosimetry

Biophysics Modeling to Optimize Ion Beam Cancer Therapy

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