Investigation of track structure and condensed history physics models for applications in radiation dosimetry on a micro and nano scale in Geant4

Lazarakis, Peter; Incerti, S.; Ivanchenko, V. N.; Kyriakou, Ioanna; Emfietzoglou, Dimitris; Corde, Stéphanie; Rosenfeld, Anatoly B.; Lerch, Michael L. F; Tehei, Moeava; Guatelli, Susanna

doi:10.1088/2057-1976/aaa6aa

Cited by 53 publications

(63 citation statements)

References 56 publications

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“…However, users must be cautious because, even under optimally-chosen simulation parameters, the differences between the CH and TS models of Geant4 may still be significant for low energy electrons (< 1 keV) and/or nanometer size targets (< 100 nm). The present findings are in agreement with recent studies on the performance of the low energy electromagnetic models of Geant4 [27,28] where it was concluded that simulations at the nanoscale strongly depend upon the target size, the physics model, and simulation Fig. 4.…”

Section: Resultssupporting

confidence: 93%

“…1a, 1b, and 1c we present the Δ (%) max for the CH models and for the different SL examined (tracking and production cuts = 10 eV). Penelope exhibits the largest differences from DNA option4 whereas Livermore has the best agreement with DNA option4, in agreement with recent findings [27,28]. Livermore DPK calculations also seem to be the least sensitive to SL variations.…”

Section: Dpk Profilessupporting

confidence: 89%

“…Note that, contrary to the DPK, the agreement between CH and TS models for the lineal energy depens upon both the electron energy and the sphere diameter. A similar conclusion was drawn by Lazarakis et al [27] using a more simplified irradiation geometry. However, in the present study, the relationship between track length and sphere diameter is more complicated than in [27] owing to the random overlap between the electron track structure and the target (as required from the definition of lineal energy).…”

Section: Microdosimetry Profilessupporting

confidence: 86%

“…The possibility of using CH models for sub-keV electron transport is intriguing given that, compared to TS models, they can be easily applied to different materials and simulations are much faster. Nevertheless, systematic studies of the low energy performance of CH models are limited [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

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Influence of track structure and condensed history physics models of Geant4 to nanoscale electron transport in liquid water

et al. 2019

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The Geant4 toolkit offers a range of electromagnetic (EM) models for simulating the transport of charged particles down to sub-keV energies. They can be divided to condensed-history (CH) models (like the Livermore and Penelope models) and the track-structure (TS) models included in the Geant4-DNA low-energy extension of Geant4. Although TS models are considered the state-of-the-art for nanoscale electron transport, they are difficult to develop, computationally intensive, and commonly tailored to a single medium (e.g., water) which prohibits their use in a wide range of applications. Thus, the use of CH models down to sub-keV energies is particularly intriguing in the context of general-purpose Monte Carlo codes. The aim of the present work is to compare the performance of the CH models of Geant4 against the recently implemented TS models of Geant4-DNA for nanoscale electron transport. Calculations are presented for two fundamental quantities, the dose-pointkernel and the microdosimetric lineal energy. The influence of user-defined simulation parameters (tracking and production cuts, and maximum step size) on the above calculations is also examined. It is shown that Livermore offers the best performance among the CH models of Geant4 for nanoscale electron transport. However, even under optimally-chosen simulation parameters, the differences between the CH and TS models examined may be sizeable for low energy electrons (< 1 keV) and/or nanometer size targets (< 100 nm).

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Section: Resultssupporting

confidence: 93%

Section: Dpk Profilessupporting

confidence: 89%

Section: Microdosimetry Profilessupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

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Influence of track structure and condensed history physics models of Geant4 to nanoscale electron transport in liquid water

et al. 2019

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“…This functionality has provided a unique theoretical tool for investigating differences between sparse (or low linear energy transfer (LET)) and dense (or high-LET) ionization radiations at the nanometer level, which is not possible by other means [32]. MCTS codes have been the workhorse of theoretical microdosimetry, enabling systematic calculations of lineal energy spectra (the stochastic analog of LET), proximity functions, ionization cluster distributions, etc., which are used for explaining and predicting the quality factor or the relative biological effectiveness of different ionizing radiations [33][34][35][36][37][38][39]. In addition, quantitative estimates of the early "direct" DNA damage can be obtained by combining the spatial distribution of energy-transfer points (above a certain threshold) with the geometric structure of DNA [40][41][42][43][44][45].…”

Section: Particle Track Structure Codesmentioning

confidence: 99%

Ionizing Radiation and Complex DNA Damage: Quantifying the Radiobiological Damage Using Monte Carlo Simulations

Chatzipapas

Papadimitroulas²,

Emfietzoglou

et al. 2020

Cancers

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Ionizing radiation is a common tool in medical procedures. Monte Carlo (MC) techniques are widely used when dosimetry is the matter of investigation. The scientific community has invested, over the last 20 years, a lot of effort into improving the knowledge of radiation biology. The present article aims to summarize the understanding of the field of DNA damage response (DDR) to ionizing radiation by providing an overview on MC simulation studies that try to explain several aspects of radiation biology. The need for accurate techniques for the quantification of DNA damage is crucial, as it becomes a clinical need to evaluate the outcome of various applications including both low- and high-energy radiation medical procedures. Understanding DNA repair processes would improve radiation therapy procedures. Monte Carlo simulations are a promising tool in radiobiology studies, as there are clear prospects for more advanced tools that could be used in multidisciplinary studies, in the fields of physics, medicine, biology and chemistry. Still, lot of effort is needed to evolve MC simulation tools and apply them in multiscale studies starting from small DNA segments and reaching a population of cells.

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Microdosimetric considerations for radiation response studies using Raman spectroscopy

Oliver

Thomson

2018

Medical Physics

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Investigation of track structure and condensed history physics models for applications in radiation dosimetry on a micro and nano scale in Geant4

Cited by 53 publications

References 56 publications

Influence of track structure and condensed history physics models of Geant4 to nanoscale electron transport in liquid water

Influence of track structure and condensed history physics models of Geant4 to nanoscale electron transport in liquid water

Ionizing Radiation and Complex DNA Damage: Quantifying the Radiobiological Damage Using Monte Carlo Simulations

Microdosimetric considerations for radiation response studies using Raman spectroscopy

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