ReviewStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2017
Monte Carlo systems used for treatment planning and dose verification.
Review in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- Monte Carlo Simulations in Nanomedicine: Advancing Cancer Imaging and Therapy.Nanomaterials (Basel, Switzerland) · 2025Review
- The impact of metal implants on the dose and clinical outcome of radiotherapy (Review).Molecular and clinical oncology · 2024Review
- An interface tool to parametrize treatment plans for the TrueBeam radiotherapy system into TOPAS parameter control files for Monte Carlo simulation.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2024Article
- Validation of an in vivo transit dosimetry algorithm using Monte Carlo simulations and ionization chamber measurements.Journal of applied clinical medical physics · 2024Article
- Assessment of Surface and Build-up Doses for a 6 MV Photon Beam using Parallel Plate Chamber, EBT3 Gafchromic Films, and PRIMO Monte Carlo Simulation Code.Journal of biomedical physics & engineering · 2022Article
- ExtendingPhysics and imaging in radiation oncology · 2022Article
- Assessing the Effect of Directional Bremsstrahlung Splitting on the Output Spectra and Parameters Using BEAMnrc Monte Carlo Simulation Package.Biomedical engineering and computational biology · 2022Article
- X-ray-Fluorescence Imaging for In Vivo Detection of Gold-Nanoparticle-Labeled Immune Cells: A GEANT4 Based Feasibility Study.Cancers · 2021Article
- Small Animal IMRT Using 3D-Printed Compensators.International journal of radiation oncology, biology, physics · 2021Article
- The influence of small field output factors simulated uncertainties on the calculated dose in VMAT plans for brain metastases: a multicentre study.The British journal of radiology · 2021Article
- Treatment planning for proton therapy: what is needed in the next 10 years?The British journal of radiology · 2020Review
- Linac photon beam fine-tuning in PRIMO using the gamma-index analysis toolkit.Radiation oncology (London, England) · 2020Article
- MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO).Radiation oncology (London, England) · 2019Article
- DPM as a radiation transport engine for PRIMO.Radiation oncology (London, England) · 2018Article
- A fast jaw-tracking model for VMAT and IMRT Monte Carlo simulations.Journal of applied clinical medical physics · 2018Article
- Validation of the Elekta Synergy Platform Linac at 6 MV Photon Beam using PRIMO Monte Carlo Software.Journal of medical physicsArticle
- Collapsed Cone Superposition Algorithm Validation for Chest Wall Tangential Fields using Virtual Wedge Filters.Journal of medical signals and sensorsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
General-purpose radiation transport Monte Carlo codes have been used for estimation of the absorbed dose distribution in external photon and electron beam radiotherapy patients since several decades. Results obtained with these codes are usually more accurate than those provided by treatment planning systems based on non-stochastic methods. Traditionally, absorbed dose computations based on general-purpose Monte Carlo codes have been used only for research, owing to the difficulties associated with setting up a simulation and the long computation time required. To take advantage of radiation transport Monte Carlo codes applied to routine clinical practice, researchers and private companies have developed treatment planning and dose verification systems that are partly or fully based on fast Monte Carlo algorithms. This review presents a comprehensive list of the currently existing Monte Carlo systems that can be used to calculate or verify an external photon and electron beam radiotherapy treatment plan. Particular attention is given to those systems that are distributed, either freely or commercially, and that do not require programming tasks from the end user. These systems are compared in terms of features and the simulation time required to compute a set of benchmark calculations.
Indexed as
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.