Literature DB >> 17216757

Evaluation of a commercial electron treatment planning system based on Monte Carlo techniques (eMC).

Peter Pemler1, Jürgen Besserer, Uwe Schneider, Hans Neuenschwander.   

Abstract

A commercial electron beam treatment planning system on the basis of a Monte Carlo algorithm (Varian Eclipse, eMC V7.2.35) was evaluated. Measured dose distributions were used for comparison with dose distributions predicted by eMC calculations. Tests were carried out for various applicators and field sizes, irregular shaped cut outs and an inhomogeneity phantom for energies between 6 Me V and 22 MeV Monitor units were calculated for all applicator/energy combinations and field sizes down to 3 cm diameter and source-to-surface distances of 100 cm and 110 cm. A mass-density-to-Hounsfield-Units calibration was performed to compare dose distributions calculated with a default and an individual calibration. The relationship between calculation parameters of the eMC and the resulting dose distribution was studied in detail. Finally, the algorithm was also applied to a clinical case (boost treatment of the breast) to reveal possible problems in the implementation. For standard geometries there was a good agreement between measurements and calculations, except for profiles for low energies (6 MeV) and high energies (18 Me V 22 MeV), in which cases the algorithm overestimated the dose off-axis in the high-dose region. For energies of 12 MeV and higher there were oscillations in the plateau region of the corresponding depth dose curves calculated with a grid size of 1 mm. With irregular cut outs, an overestimation of the dose was observed for small slits and low energies (4% for 6 MeV), as well as for asymmetric cases and extended source-to-surface distances (12% for SSD = 120 cm). While all monitor unit calculations for SSD = 100 cm were within 3% compared to measure-ments, there were large deviations for small cut outs and source-to-surface distances larger than 100 cm (7%for a 3 cm diameter cut-out and a source-to-surface distance of 10 cm).

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Year:  2006        PMID: 17216757     DOI: 10.1078/0939-3889-00330

Source DB:  PubMed          Journal:  Z Med Phys        ISSN: 0939-3889            Impact factor:   4.820


  6 in total

1.  Review of fast monte carlo codes for dose calculation in radiation therapy treatment planning.

Authors:  Keyvan Jabbari
Journal:  J Med Signals Sens       Date:  2011-01

Review 2.  A Review of Radiotherapy-Induced Late Effects Research after Advanced Technology Treatments.

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Journal:  Front Oncol       Date:  2016-02-10       Impact factor: 6.244

3.  Dosimetric validation of Monaco treatment planning system on an Elekta VersaHD linear accelerator.

Authors:  Ganesh Narayanasamy; Daniel L Saenz; Dewayne Defoor; Niko Papanikolaou; Sotirios Stathakis
Journal:  J Appl Clin Med Phys       Date:  2017-09-25       Impact factor: 2.102

4.  Dosimetric Comparison of Treatment Plans Computed With Finite Size Pencil Beam and Monte Carlo Algorithms Using the InCise™ Multileaf Collimator-Equipped Cyberknife® System.

Authors:  Kalpani Nisansala Udeni Galpayage Dona; Charles Shang; Theodora Leventouri
Journal:  J Med Phys       Date:  2020-03-13

5.  The Study of Field Equivalence Determined by the Modeled Percentage Depth Dose in Electron Beam Radiation Therapy.

Authors:  You-Guo Ma; Yan-Shan Zhang; Yan-Cheng Ye; Jia-Ming Wu
Journal:  Biomed Res Int       Date:  2021-10-08       Impact factor: 3.411

6.  Convolution-based modified Clarkson integration (CMCI) for electron cutout factor calculation.

Authors:  Jina Chang; Mu-Han Lin; Weiguo Lu; Mingli Chen; Steve Jiang
Journal:  J Appl Clin Med Phys       Date:  2018-02-03       Impact factor: 2.102

  6 in total

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