Literature DB >> 16723766

First macro Monte Carlo based commercial dose calculation module for electron beam treatment planning--new issues for clinical consideration.

George X Ding1, Dennis M Duggan, Charles W Coffey, Parvaneh Shokrani, Joanna E Cygler.   

Abstract

The purpose of this study is to present our experience of commissioning, testing and use of the first commercial macro Monte Carlo based dose calculation algorithm for electron beam treatment planning and to investigate new issues regarding dose reporting (dose-to-water versus dose-to-medium) as well as statistical uncertainties for the calculations arising when Monte Carlo based systems are used in patient dose calculations. All phantoms studied were obtained by CT scan. The calculated dose distributions and monitor units were validated against measurements with film and ionization chambers in phantoms containing two-dimensional (2D) and three-dimensional (3D) type low- and high-density inhomogeneities at different source-to-surface distances. Beam energies ranged from 6 to 18 MeV. New required experimental input data for commissioning are presented. The result of validation shows an excellent agreement between calculated and measured dose distributions. The calculated monitor units were within 2% of measured values except in the case of a 6 MeV beam and small cutout fields at extended SSDs (>110 cm). The investigation on the new issue of dose reporting demonstrates the differences up to 4% for lung and 12% for bone when 'dose-to-medium' is calculated and reported instead of 'dose-to-water' as done in a conventional system. The accuracy of the Monte Carlo calculation is shown to be clinically acceptable even for very complex 3D-type inhomogeneities. As Monte Carlo based treatment planning systems begin to enter clinical practice, new issues, such as dose reporting and statistical variations, may be clinically significant. Therefore it is imperative that a consistent approach to dose reporting is used.

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Year:  2006        PMID: 16723766     DOI: 10.1088/0031-9155/51/11/007

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  11 in total

1.  Fast, accurate photon beam accelerator modeling using BEAMnrc: a systematic investigation of efficiency enhancing methods and cross-section data.

Authors:  Margarida Fragoso; Iwan Kawrakow; Bruce A Faddegon; Timothy D Solberg; Indrin J Chetty
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

2.  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

3.  Evaluation of an electron Monte Carlo dose calculation algorithm for electron beam.

Authors:  Ye Angela Hu; Haijun Song; Zhe Chen; Sumin Zhou; Fang-Fang Yin
Journal:  J Appl Clin Med Phys       Date:  2008-06-23       Impact factor: 2.102

4.  Validation of an electron Monte Carlo dose calculation algorithm in the presence of heterogeneities using EGSnrc and radiochromic film measurements.

Authors:  Jean-François Aubry; Hugo Bouchard; Igor Bessières; Frédéric Lacroix
Journal:  J Appl Clin Med Phys       Date:  2011-11-15       Impact factor: 2.102

5.  Evaluation of an electron Monte Carlo dose calculation algorithm for treatment planning.

Authors:  Eve Chamberland; Luc Beaulieu; Bernard Lachance
Journal:  J Appl Clin Med Phys       Date:  2015-05-08       Impact factor: 2.102

6.  An Approach in Radiation Therapy Treatment Planning: A Fast, GPU-Based Monte Carlo Method.

Authors:  Mojtaba Karbalaee; Daryoush Shahbazi-Gahrouei; Mohammad B Tavakoli
Journal:  J Med Signals Sens       Date:  2017 Apr-Jun

7.  Assessment of Eclipse electron Monte Carlo output prediction for various topologies.

Authors:  Shane L Lawrence; Natascha H M van Lieshout; Paule M Charland
Journal:  J Appl Clin Med Phys       Date:  2015-05-08       Impact factor: 2.102

8.  Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm.

Authors:  Aizhen Zhang; Ning Wen; Teamour Nurushev; Jay Burmeister; Indrin J Chetty
Journal:  J Appl Clin Med Phys       Date:  2013-03-04       Impact factor: 2.102

9.  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

10.  Verification measurements of an eMC algorithm using a 2D ion chamber array.

Authors:  Mark D Wanklyn; Ghirmay Kidane; Liz Crees
Journal:  J Appl Clin Med Phys       Date:  2016-09-08       Impact factor: 2.102

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