Literature DB >> 32240360

Applications of MCNP simulation in treatment planning: a comparative study.

Seyed Milad Vahabi1, Mojtaba Shamsaie Zafarghandi2.   

Abstract

Monte Carlo codes have been used for approximately 80 years to solve various problems in medical physics. In this paper, the importance of the MCNPX code in treatment planning is highlighted. As illustrative examples of the role of MCNPX in this field, some dosimetric parameters, isodose distribution curves, and figures of merit (FOMs) were considered for photon beams of various energies. To the best of the authors' knowledge, such a systematic study has not been done before. Tissue-air ratio values were obtained as a function of depth in tissue as well as field size. The results of the simulations were in agreement within 3.5% with experimental results reported in the literature. Backscatter factor values were calculated as a function of beam energy, and found to be in agreement with published experimental values within 5.9%. The isodose curves for different conditions and beam arrangements were also simulated. Besides, FOMs were calculated for different radiation energies. All the results were in agreement with related data in the literature. It is concluded that the MCNPX code and the models developed in the present study can be used in different conditions where these parameters are involved, improving individualized treatment planning for individual patients.

Entities:  

Keywords:  MCNPX; Medical physics; Simulation; Treatment planning

Mesh:

Substances:

Year:  2020        PMID: 32240360     DOI: 10.1007/s00411-020-00841-2

Source DB:  PubMed          Journal:  Radiat Environ Biophys        ISSN: 0301-634X            Impact factor:   1.925


  11 in total

1.  An MCNP-based model of a linear accelerator x-ray beam.

Authors:  R D Lewis; S J Ryde; D A Hancock; C J Evans
Journal:  Phys Med Biol       Date:  1999-05       Impact factor: 3.609

2.  Monte Carlo dose calculations in homogeneous media and at interfaces: a comparison between GEPTS, EGSnrc, MCNP, and measurements.

Authors:  Omar Chibani; X Allen Li
Journal:  Med Phys       Date:  2002-05       Impact factor: 4.071

3.  History by history statistical estimators in the BEAM code system.

Authors:  B R B Walters; I Kawrakow; D W O Rogers
Journal:  Med Phys       Date:  2002-12       Impact factor: 4.071

Review 4.  Fifty years of Monte Carlo simulations for medical physics.

Authors:  D W O Rogers
Journal:  Phys Med Biol       Date:  2006-06-20       Impact factor: 3.609

5.  Comparison of experimental 3D dose curves in a heterogeneous phantom with results obtained by MCNP5 simulation and those extracted from a commercial treatment planning system.

Authors:  B Juste; R Miró; J M Campayo; S Díez; G Verdú
Journal:  Appl Radiat Isot       Date:  2009-10-12       Impact factor: 1.513

6.  IDACstar: A MCNP Application to Perform Realistic Dose Estimations from Internal or External Contamination of Radiopharmaceuticals.

Authors:  Ünal Ören; Mauritius Hiller; M Andersson
Journal:  Radiat Prot Dosimetry       Date:  2017-04-28       Impact factor: 0.972

7.  Assessment of radiation-induced secondary cancer risk in the Brazilian population from left-sided breast-3D-CRT using MCNPX.

Authors:  Bruno Melo Mendes; Bruno Machado Trindade; Telma Cristina Ferreira Fonseca; Tarcisio Passos Ribeiro de Campos
Journal:  Br J Radiol       Date:  2017-10-27       Impact factor: 3.039

8.  RECORDS: improved Reporting of montE CarlO RaDiation transport Studies: Report of the AAPM Research Committee Task Group 268.

Authors:  Ioannis Sechopoulos; D W O Rogers; Magdalena Bazalova-Carter; Wesley E Bolch; Emily C Heath; Michael F McNitt-Gray; Josep Sempau; Jeffrey F Williamson
Journal:  Med Phys       Date:  2017-12-16       Impact factor: 4.071

9.  Monte Carlo method for gamma spectrometry based on GEANT4 toolkit: Efficiency calibration of BE6530 detector.

Authors:  Guembou Shouop Cebastien Joel; Ndontchueng Moyo Maurice; Nguelem Mekongtso Eric Jilbert; Motapon Ousmanou; Strivay David
Journal:  J Environ Radioact       Date:  2018-04-10       Impact factor: 2.674

10.  A verification of the Monte Carlo code MCNP for thick target bremsstrahlung calculations.

Authors:  J J DeMarco; T D Solberg; R E Wallace; J B Smathers
Journal:  Med Phys       Date:  1995-01       Impact factor: 4.071

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