Literature DB >> 10535630

Clinical implementation of a Monte Carlo treatment planning system.

C M Ma1, E Mok, A Kapur, T Pawlicki, D Findley, S Brain, K Forster, A L Boyer.   

Abstract

The purpose of this study was to implement the Monte Carlo method for clinical radiotherapy dose calculations. We used the EGS4/BEAM code to obtain the phase-space data for 6-20 MeV electron beams and 4, 6, and 15 MV photon beams for Varian Clinac 1800, 2100C, and 2300CD accelerators. A multiple-source model was used to reconstruct the phase-space data for both electron and photon beams, which retained the accuracy of the Monte Carlo beam data. The multiple-source model reduced the phase-space data storage requirement by a factor of 1000 and the accelerator simulation time by a factor of 10 or more. Agreement within 2% was achieved between the Monte Carlo calculations and measurements of the dose distributions in homogeneous and heterogeneous phantoms for various field sizes, source-surface distances, and beam modulations. The Monte Carlo calculated electron output factors were within 2% of the measured values for various treatment fields while the heterogeneity correction factors for various lung and bone phantoms were within 1% for photon beams and within 2% for electron beams. The EGS4/DOSXYZ Monte Carlo code was used for phantom and patient dose calculations. The results were compared to the dose distributions produced by a conventional treatment planning system and an intensity-modulated radiotherapy inverse-planning system. Significant differences (>5% in dose and >5 mm shift in isodose lines) were found between Monte Carlo calculations and the analytical calculations implemented in the commercial systems. Treatment sites showing the largest dose differences were for head and neck, lung, and breast cases.

Entities:  

Mesh:

Year:  1999        PMID: 10535630     DOI: 10.1118/1.598729

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  42 in total

1.  Monte Carlo simulations of electron beams collimated with a dual electron multileaf collimator: a feasibility study.

Authors:  S O Inyang; A C Chamberlain
Journal:  Radiol Phys Technol       Date:  2009-07-04

2.  Dosimetric verification of the anisotropic analytical algorithm in lung equivalent heterogeneities with and without bone equivalent heterogeneities.

Authors:  Kaoru Ono; Satoru Endo; Kenichi Tanaka; Masaharu Hoshi; Yutaka Hirokawa
Journal:  Med Phys       Date:  2010-08       Impact factor: 4.071

3.  Four-dimensional dosimetry validation and study in lung radiotherapy using deformable image registration and Monte Carlo techniques.

Authors:  Tzung-Chi Huang; Ji-An Liang; Thomas Dilling; Tung-Hsin Wu; Geoffrey Zhang
Journal:  Radiat Oncol       Date:  2010-05-29       Impact factor: 3.481

4.  Determination of radiotherapy X-ray spectra using a screen-film system.

Authors:  H M Garnica-Garza
Journal:  Med Biol Eng Comput       Date:  2008-09-09       Impact factor: 2.602

Review 5.  Monte Carlo systems used for treatment planning and dose verification.

Authors:  Lorenzo Brualla; Miguel Rodriguez; Antonio M Lallena
Journal:  Strahlenther Onkol       Date:  2016-11-25       Impact factor: 3.621

6.  Improved efficiency in Monte Carlo simulation for passive-scattering proton therapy.

Authors:  J Ramos Méndez; J Perl; J Schümann; J Shin; H Paganetti; B Faddegon
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

7.  A measurement-based generalized source model for Monte Carlo dose simulations of CT scans.

Authors:  Xin Ming; Yuanming Feng; Ransheng Liu; Chengwen Yang; Li Zhou; Hezheng Zhai; Jun Deng
Journal:  Phys Med Biol       Date:  2017-01-12       Impact factor: 3.609

8.  Commissioning of 6 MV medical linac for dynamic MLC-based IMRT on Monte Carlo code GEANT4.

Authors:  Hiroyuki Okamoto; Yukio Fujita; Kyoko Sakama; Hidetoshi Saitoh; Tatsuaki Kanai; Jun Itami; Toshiyuki Kohno
Journal:  Radiol Phys Technol       Date:  2014-02-08

9.  Monte Carlo dose verification of prostate patients treated with simultaneous integrated boost intensity modulated radiation therapy.

Authors:  Nesrin Dogan; Ivaylo Mihaylov; Yan Wu; Paul J Keall; Jeffrey V Siebers; Michael P Hagan
Journal:  Radiat Oncol       Date:  2009-06-15       Impact factor: 3.481

10.  Monte Carlo vs. pencil beam based optimization of stereotactic lung IMRT.

Authors:  Marcin Sikora; Jan Muzik; Matthias Söhn; Martin Weinmann; Markus Alber
Journal:  Radiat Oncol       Date:  2009-12-12       Impact factor: 3.481

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.