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      Enhancement of the EGSnrc code egs_chamber for fast fluence calculations of charged particles

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          Abstract

          Purpose

          Simulation of absorbed dose deposition in a detector is one of the key tasks of Monte Carlo (MC) dosimetry methodology. Recent publications (Hartmann and Zink, 2018; Hartmann and Zink, 2019; Hartmann et al., 2021) have shown that knowledge of the charged particle fluence differential in energy contributing to absorbed dose is useful to provide enhanced insight on how response depends on detector properties. While some EGSnrc MC codes provide output of charged particle spectra, they are often restricted in setup options or limited in calculation efficiency. For detector simulations, a promising approach is to upgrade the EGSnrc code egs_chamber which so far does not offer charged particle calculations.

          Methods

          Since the user code cavity offers charged particle fluence calculation, the underlying algorithm was embedded in egs_chamber. The modified code was tested against two EGSnrc applications and DOSXYZnrc which was modified accordingly by one of the authors. Furthermore, the gain in efficiency achieved by photon cross section enhancement was determined quantitatively.

          Results

          Electron and positron fluence spectra and restricted cema calculated by egs_chamber agreed well with the compared applications thus demonstrating the feasibility of the new code. Additionally, variance reduction techniques are now applicable also for fluence calculations. Depending on the simulation setup, considerable gains in efficiency were obtained by photon cross section enhancement.

          Conclusion

          The enhanced egs_chamber code represents a valuable tool to investigate the response of detectors with respect to absorbed dose and fluence distribution and the perturbation caused by the detector in a reasonable computation time. By using intermediate phase space scoring, egs_chamber offers parallel calculation of charged particle fluence spectra for different detector configurations in one single run.

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          Most cited references21

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          Accurate condensed history Monte Carlo simulation of electron transport. I. EGSnrc, the new EGS4 version.

          I Kawrakow (2000)
          In this report a new EGS4 version, called EGSnrc to reflect the substantial changes made to the original code is reported, which incorporates a new any-angle multiple elastic scattering theory, an improved electron-step algorithm, a correct implementation of the fictitious cross section method for sampling distances between discrete interactions, a more accurate evaluation of energy loss, as well as an exact boundary crossing algorithm. It is demonstrated that EGSnrc allows for an artifact free Monte Carlo simulation of ion chamber response and backscattering, situations that have been considered in the past as the two of the most stringent tests of condensed history Monte Carlo codes. A detailed discussion of the effect of the various components of the condensed history simulation of electron transport on the simulated ion chamber response is given in the accompanying paper.
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            Addendum to the AAPMˈs TG-51 protocol for clinical reference dosimetry of high-energy photon beams

            An addendum to the AAPM's TG-51 protocol for the determination of absorbed dose to water in megavoltage photon beams is presented. This addendum continues the procedure laid out in TG-51 but new k Q data for photon beams, based on Monte Carlo simulations, are presented and recommendations are given to improve the accuracy and consistency of the protocol's implementation. The components of the uncertainty budget in determining absorbed dose to water at the reference point are introduced and the magnitude of each component discussed. Finally, the consistency of experimental determination of N D,w coefficients is discussed. It is expected that the implementation of this addendum will be straightforward, assuming that the user is already familiar with TG-51. The changes introduced by this report are generally minor, although new recommendations could result in procedural changes for individual users. It is expected that the effort on the medical physicist's part to implement this addendum will not be significant and could be done as part of the annual linac calibration.
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              RECORDS: improved Reporting of montE CarlO RaDiation transport Studies: Report of the AAPM Research Committee Task Group 268.

              Studies involving Monte Carlo simulations are common in both diagnostic and therapy medical physics research, as well as other fields of basic and applied science. As with all experimental studies, the conditions and parameters used for Monte Carlo simulations impact their scope, validity, limitations, and generalizability. Unfortunately, many published peer-reviewed articles involving Monte Carlo simulations do not provide the level of detail needed for the reader to be able to properly assess the quality of the simulations. The American Association of Physicists in Medicine Task Group #268 developed guidelines to improve reporting of Monte Carlo studies in medical physics research. By following these guidelines, manuscripts submitted for peer-review will include a level of relevant detail that will increase the transparency, the ability to reproduce results, and the overall scientific value of these studies. The guidelines include a checklist of the items that should be included in the Methods, Results, and Discussion sections of manuscripts submitted for peer-review. These guidelines do not attempt to replace the journal reviewer, but rather to be a tool during the writing and review process. Given the varied nature of Monte Carlo studies, it is up to the authors and the reviewers to use this checklist appropriately, being conscious of how the different items apply to each particular scenario. It is envisioned that this list will be useful both for authors and for reviewers, to help ensure the adequate description of Monte Carlo studies in the medical physics literature.
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                Author and article information

                Contributors
                Journal
                Z Med Phys
                Z Med Phys
                Zeitschrift für medizinische Physik
                Elsevier
                0939-3889
                1876-4436
                25 May 2022
                November 2022
                25 May 2022
                : 32
                : 4
                : 417-427
                Affiliations
                [a ]Department for Radiotherapy and Radiooncology, University Medical Center Göttingen, Göttingen 37075, Germany
                [b ]Institute of Medical Physics and Radiation Protection (IMPS), University of Applied Sciences, Gießen 35390, Germany
                [c ]German Cancer Research Center (DKFZ), Heidelberg 69120, Germany
                [d ]Department for Radiotherapy and Radiooncology, University Medical Center Heidelberg, Heidelberg 69120, Germany
                [e ]Department for Radiotherapy and Radiooncology, University Medical Center Giessen-Marburg, Marburg 35043, Germany
                [f ]Marburg Iontherapy Center (MIT), Marburg 35043, Germany
                [g ]Diagnostic and Interventional Radiology, Philipps-University Marburg, Marburg 35043, Germany
                Author notes
                [* ]Corresponding author: Department for Radiotherapy and Radiooncology, University Medical Center Göttingen, Göttingen 37075, Germany. thomas.failing@ 123456med.uni-goettingen.de
                Article
                S0939-3889(22)00058-7
                10.1016/j.zemedi.2022.04.003
                9948836
                35643800
                0456ed7f-feb3-44ee-ad22-bdf5a31e753c
                © 2022 Published by Elsevier GmbH on behalf of DGMP, ÖGMP and SSRMP.

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 6 January 2022
                : 14 April 2022
                Categories
                Original Paper

                monte carlo simulations,egsnrc,variance reduction techniques,charged particle fluence

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