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01-04-2017 | Review Article

Monte Carlo systems used for treatment planning and dose verification

Authors: Lorenzo Brualla, Miguel Rodriguez, Antonio M. Lallena

Published in: Strahlentherapie und Onkologie | Issue 4/2017

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.

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Title: Monte Carlo systems used for treatment planning and dose verification
Authors: Lorenzo Brualla
Miguel Rodriguez
Antonio M. Lallena
Publication date: 01-04-2017
Publisher: Springer Berlin Heidelberg
Published in: Strahlentherapie und Onkologie / Issue 4/2017
Print ISSN: 0179-7158
Electronic ISSN: 1439-099X
DOI: https://doi.org/10.1007/s00066-016-1075-8

At a glance: The STEP trials

Springer Medicine

Monte Carlo systems used for treatment planning and dose verification

Abstract

At a glance: The STEP trials

Springer Medicine

Abstract

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