Energy deposition clustering as a functional radiation quality descriptor for modeling relative biological effectiveness

Villegas, Fernanda; Bäckström, Gloria; Tilly, Nina; Ahnesjö, Anders

doi:10.1118/1.4966033

Cited by 22 publications

(14 citation statements)

References 47 publications

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“…• Only the primary protons [5,[117][118][119][120][121][122][123][124][125][126][127][128] • Primary and secondary protons 3 [14, • any particle with z = 1 (meaning also deuterons and tritons) [152] as described in [24] • all secondary particles (most noteworthy also He-3 and He-4) [27,[153][154][155][156], also covered by [24].…”

Section: Primary and Secondary Radiation Discriminationmentioning

confidence: 99%

A systematic review on the usage of averaged LET in radiation biology for particle therapy

Kalholm

Grzanka

Traneus

et al. 2021

Radiotherapy and Oncology

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Section: Primary and Secondary Radiation Discriminationmentioning

confidence: 99%

A systematic review on the usage of averaged LET in radiation biology for particle therapy

Kalholm

Grzanka

Traneus

et al. 2021

Radiotherapy and Oncology

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“…Apart from MCNP6, which uses a simple interpolation of high-energy atomic models down to the eV energy range, thus neglecting molecular aggregation and condensed-phase effects, the Geant4-DNA and modified PENELOPE/penEasy extensions are based on elaborate physics models specifically developed for liquid water. The code PENELOPE is known for its electron models and extends accurately to low energies, having applications to micro-and nano-dosimetry [78,79], however, the low-energy modification of the PENELOPE code is not publicly distributed. Therefore, since 2007, Geant4 (release 9.1) is the only open access general-purpose radiation transport MC code offering, through its Geant4-DNA extension, track-structure functionalities in liquid water down to the eV energy range for radiobiological applications at the cellular, sub-cellular, and DNA level [75,76].…”

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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“…2 More recently, the relative biological effectiveness (RBE) problem encountered in radiotherapeutic applications of high-linear energy transfer (LET) radiations (e.g., in hadron therapy) has also been approached within the context of microdosimetry with promising outcomes. [3][4][5][6][7] Notable examples of microscopic radiobiological models are the Local Effect Model 8,9 that is used clinically for treatment planning at the Heidelberg Ionbeam Therapy center, Germany and the Microdosimetric Kinetic Model 10 used at the Heavy Ion Medical Accelerator of NIRS in Chiba, Japan. Both models use as input the radiation dose distribution to microscopic volumes and radiobiological data at the subcellular and DNA level.…”

Section: Introductionmentioning

confidence: 99%

Microdosimetry of electrons in liquid water using the low-energy models of Geant4

Kyriakou

Emfietzoglou

Ivanchenko

et al. 2017

Journal of Applied Physics

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The biological effects of ionizing radiation at the cellular level are frequently studied using the well-known formalism of microdosimetry, which provides a quantitative description of the stochastic aspects of energy deposition in irradiated media. Energy deposition can be simulated using Monte Carlo codes, some adopting a computationally efficient condensed-history approach, while others follow a more detailed track-structure approach. In this work, we present the simulation of microdosimetry spectra and related quantities (frequency-mean and dose-mean lineal energies) for incident monoenergetic electrons (50 eV-10 keV) in spheres of liquid water with dimensions comparable to the size of biological targets: base pairs (2 nm diameter), nucleosomes (10 nm), chromatin fibres (30 nm) and chromosomes (300 nm). Simulations are performed using the condensed-history low-energy physics models ("Livermore" and "Penelope") and the track-structure Geant4-DNA physics models, available in the Geant4 Monte Carlo simulation toolkit. The spectra are compared and the influence of simulation parameters and different physics models, with emphasis on recent developments, is discussed, underlining the suitability of Geant4-DNA models for microdosimetry simulations. It is further shown that with an appropriate choice of simulation parameters, condensed-history transport may yield reasonable results for sphere sizes as small as a few tens of a nanometer.

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Energy deposition clustering as a functional radiation quality descriptor for modeling relative biological effectiveness

Abstract: The f cluster characterization of ionizing radiation at a nanometer scale can effectively be used to calculate particle and energy dependent α and β values to predict RBE values with potential applications to, e.g., treatment planning systems in radiotherapy.

Cited by 22 publications

References 47 publications

A systematic review on the usage of averaged LET in radiation biology for particle therapy

A systematic review on the usage of averaged LET in radiation biology for particle therapy

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

Microdosimetry of electrons in liquid water using the low-energy models of Geant4

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