Literature DB >> 23862746

Acceptance and commissioning of a treatment planning system based on Monte Carlo calculations.

J Lopez-Tarjuelo1, R Garcia-Molla, X J Juan-Senabre, J D Quiros-Higueras, A Santos-Serra, N de Marco-Blancas, S Calzada-Feliu.   

Abstract

The Monaco Treatment Planning System (TPS), based on a virtual energy fluence model of the photon beam head components of the linac and a dose computation engine made with Monte Carlo (MC) algorithm X-Ray Voxel MC (XVMC), has been tested before being put into clinical use. An Elekta Synergy with 6 MV was characterized using routine equipment. After the machine's model was installed, a set of functionality, geometric, dosimetric and data transfer tests were performed. The dosimetric tests included dose calculations in water, heterogeneous phantoms and Intensity Modulated Radiation Therapy (IMRT) verifications. Data transfer tests were run for every imaging device, TPS and the electronic medical record linked to Monaco. Functionality and geometric tests were run properly. Dose calculations in water were in accordance with measurements so that, in 95% of cases, differences were up to 1.9%. Dose calculation in heterogeneous media showed expected results found in the literature. IMRT verification results with an ionization chamber led to dose differences lower than 2.5% for points inside a standard gradient. When an 2-D array was used, all the fields passed the g (3%, 3 mm) test with a percentage of succeeding points between 90% and 95%, of which the majority of the mentioned fields had a percentage of succeeding points between 95% and 100%. Data transfer caused problems that had to be solved by means of changing our workflow. In general, tests led to satisfactory results. Monaco performance complied with published international recommendations and scored highly in the dosimetric ambit. However, the problems detected when the TPS was put to work together with our current equipment showed that this kind of product must be completely commissioned, without neglecting data workflow, before treating the first patient.

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Year:  2013        PMID: 23862746     DOI: 10.7785/tcrt.2012.500361

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  3 in total

1.  Experimental evaluation of a GPU-based Monte Carlo dose calculation algorithm in the Monaco treatment planning system.

Authors:  Moti R Paudel; Anthony Kim; Arman Sarfehnia; Sayed B Ahmad; David J Beachey; Arjun Sahgal; Brian M Keller
Journal:  J Appl Clin Med Phys       Date:  2016-11-08       Impact factor: 2.102

2.  Treatment planning system commissioning of the first clinical biology-guided radiotherapy machine.

Authors:  Eric Simiele; Dante Capaldi; Dylan Breitkreutz; Bin Han; Timothy Yeung; John White; Daniel Zaks; Michael Owens; Srinath Maganti; Lei Xing; Murat Surucu; Nataliya Kovalchuk
Journal:  J Appl Clin Med Phys       Date:  2022-05-29       Impact factor: 2.243

3.  Determination of MLC model parameters for Monaco using commercial diode arrays.

Authors:  Paul Kinsella; Laura Shields; Patrick McCavana; Brendan McClean; Brian Langan
Journal:  J Appl Clin Med Phys       Date:  2016-07-08       Impact factor: 2.102

  3 in total

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