Geant4-DNA example applications for track structure simulations in liquid water: A report from the Geant4-DNA Project

This Special Report presents a description of Geant4‐DNA user applications dedicated to the simulation of track structures (TS) in liquid water and associated physical quantities (e.g., range, stopping power, mean free path…). These example applications are included in the Geant4 Monte Carlo toolkit and are available in open access. Each application is described and comparisons to recent international recommendations are shown (e.g., ICRU, MIRD), when available. The influence of physics models available in Geant4‐DNA for the simulation of electron interactions in liquid water is discussed. Thanks to these applications, the authors show that the most recent sets of physics models available in Geant4‐DNA (the so‐called “option4” and “option 6” sets) enable more accurate simulation of stopping powers, dose point kernels, and W‐values in liquid water, than the default set of models (“option 2”) initially provided in Geant4‐DNA. They also serve as reference applications for Geant4‐DNA users interested in TS simulations

Geant4 Monte Carlo simulation of absorbed dose and radiolysis yields enhancement from a gold nanoparticle under MeV proton irradiation

Gold nanoparticles have been reported as a possible radio-sensitizer agent in radiation therapy due totheir ability to increase energy deposition and subsequent direct damage to cells and DNA within theirlocal vicinity. Moreover, this increase in energy deposition also results in an increase of the radiochemicalyields. In this work we present, for the first time, an in silico investigation, based on the general purposeMonte Carlo simulation toolkit Geant4, into energy deposition and radical species production around aspherical gold nanoparticle 50 nm in diameter via proton irradiation. Simulations were preformed forincident proton energies ranging from 2 to 170 MeV, which are of interest for clinical proton therapy

Report on G4‐Med, a Geant4 benchmarking system for medical physics applications developed by the Geant4 Medical Simulation Benchmarking Group

Geant4 is a Monte Carlo code extensively used in medical physics for a wide range of applications, such as dosimetry, micro‐ and nano‐ dosimetry, imaging, radiation protection and nuclear medicine. Geant4 is continuously evolving, so it is crucial to have a system that benchmarks this Monte Carlo code for medical physics against reference data and to perform regression testing. To respond to these needs, we developed G4‐Med, a benchmarking and regression testing system of Geant4 for medical physics, that currently includes 18 tests. They range from the benchmarking of fundamental physics quantities to the testing of Monte Carlo simulation setups typical of medical physics applications. Both electromagnetic and hadronic physics processes and models within the pre‐built, Geant4 physics lists are tested. The tests included in G4‐Med are executed on the CERN computing infrastructure via the use of the geant‐val web application, developed at CERN for Geant4 testing. The physical observables can be compared to reference data for benchmarking and to results of previous Geant4 versions for regression testing purposes. This paper describes the tests included in G4‐Med and shows the results derived from the benchmarking of Geant4 10.5 against reference data. The results presented and discussed in this paper will aid users in tailoring physics lists to their particular application

A New Standard DNA Damage (SDD) Data Format

Our understanding of radiation-induced cellular damage has greatly improved over the past few decades. Despite this progress, there are still many obstacles to fully understand how radiation interacts with biologically relevant cellular components, such as DNA, to cause observable end points such as cell killing. Damage in DNA is identified as a major route of cell killing. One hurdle when modeling biological effects is the difficulty in directly comparing results generated by members of different research groups. Multiple Monte Carlo codes have been developed to simulate damage induction at the DNA scale, while at the same time various groups have developed models that describe DNA repair processes with varying levels of detail. These repair models are intrinsically linked to the damage model employed in their development, making it difficult to disentangle systematic effects in either part of the modeling chain. These modeling chains typically consist of track-structure Monte Carlo simulations of the physical interactions creating direct damages to DNA, followed by simulations of the production and initial reactions of chemical species causing so-called “indirect” damages. After the induction of DNA damage, DNA repair models combine the simulated damage patterns with biological models to determine the biological consequences of the damage. To date, the effect of the environment, such as molecular oxygen (normoxic vs. hypoxic), has been poorly considered. We propose a new standard DNA damage (SDD) data format to unify the interface between the simulation of damage induction in DNA and the biological modeling of DNA repair processes, and introduce the effect of the environment (molecular oxygen or other compounds) as a flexible parameter. Such a standard greatly facilitates inter-model comparisons, providing an ideal environment to tease out model assumptions and identify persistent, underlying mechanisms. Through inter-model comparisons, this unified standard has the potential to greatly advance our understanding of the underlying mechanisms of radiation-induced DNA damage and the resulting observable biological effects when radiation parameters and/or environmental conditions change

O impacto dos efeitos da ocupação sobre a saúde de trabalhadores: II - Mortalidade The impact of occupation on worker's health: II - Mortality

Foi realizada revisão bibliográfica analítica com o objetivo de quantificar o impacto dos efeitos da ocupação sobre a mortalidade de trabalhadores em suas implicações sobre o setor saúde. As repercussões sobre a mortalidade de trabalhadores são medidas através das mortes diretamente relacionadas com o trabalho (acidentes do trabalho fatais e intoxicações fatais) e das indiretamente relacionadas. Partindo das grandes causas de morte entre adultos - doenças cardiovasculares, câncer e mortes violentas - e explorando as informações obtidas em estudos epidemiológicos realizados em outros países, estimou-se a força da contribuição da ocupação sobre a mortalidade. O peso e a complexidade das repercussões sobre o setor saúde pressupõem um desempenho mais ativo na definição de políticas e responsabilidades, e na organização de ações destinadas a identificar, reduzir ou eliminar a participação dos riscos ocupacionais nas grandes causas de doença e morte.<br>An attempt to estimate the impact of occupation on worker's health was made as part of the rationale for the progressive integration of Occupational Health into the Health Sector. In this second study, based on a critical review of the literature, the repercussions on mortality are discussed on this basis analysis of the Brazilian data on deaths directly related to occupation (fatal occupational accidents and acute poisonings), as well as on those indirectly so related. The analysis of the major causes of adult deaths - cardiovascular diseases, cancer and violent deaths - compared with the proportion of "work-relatedness" according to several epidemiologic studies carried out in developed countries, make possible an estimation of the influence of the contribution of occupation on mortality. The size of this contribution is the main argument for an active involvement of the health sector in Occupational Health issues, because of the heavy toll in terms of adult morbidity and mortality exacted on industrialized societies