Literature DB >> 20071752

Monte Carlo investigation of the low-dose envelope from scanned proton pencil beams.

Gabriel O Sawakuchi1, Uwe Titt, Dragan Mirkovic, George Ciangaru, X Ronald Zhu, Narayan Sahoo, Michael T Gillin, Radhe Mohan.   

Abstract

Scanned proton pencil beams carry a low-dose envelope that extends several centimeters from the individual beam's central axis. Thus, the total delivered dose depends on the size of the target volume and the corresponding number and intensity of beams necessary to cover the target volume uniformly. This dependence must be considered in dose calculation algorithms used by treatment planning systems. In this work, we investigated the sources of particles contributing to the low-dose envelope using the Monte Carlo technique. We used a validated model of our institution's scanning beam line to determine the contributions to the low-dose envelope from secondary particles created in a water phantom and particles scattered in beam line components. Our results suggested that, for high-energy beams, secondary particles produced by nuclear interactions in the water phantom are the major contributors to the low-dose envelope. For low-energy beams, the low-dose envelope is dominated by particles undergoing multiple Coulomb scattering in the beam line components and water phantom. Clearly, in the latter situation, the low-dose envelope depends directly on beam line design features. Finally, we investigated the dosimetric consequences of the low-dose envelope. Our results showed that if not modeled properly the low-dose envelope may cause clinically relevant dose disturbance in the target volume. This work suggested that this low-dose envelope is beam line specific for low-energy beams, should be thoroughly experimentally characterized and validated during commissioning of the treatment planning system, and therefore is of great concern for accurate delivery of proton scanning beam doses.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20071752     DOI: 10.1088/0031-9155/55/3/011

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


  17 in total

1.  An MCNPX Monte Carlo model of a discrete spot scanning proton beam therapy nozzle.

Authors:  Gabriel O Sawakuchi; Dragan Mirkovic; Luis A Perles; Narayan Sahoo; X Ron Zhu; George Ciangaru; Kazumichi Suzuki; Michael T Gillin; Radhe Mohan; Uwe Titt
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

2.  Adjustment of the lateral and longitudinal size of scanned proton beam spots using a pre-absorber to optimize penumbrae and delivery efficiency.

Authors:  Uwe Titt; Dragan Mirkovic; Gabriel O Sawakuchi; Luis A Perles; Wayne D Newhauser; Phillip J Taddei; Radhe Mohan
Journal:  Phys Med Biol       Date:  2010-11-12       Impact factor: 3.609

3.  Impact of range shifter material on proton pencil beam spot characteristics.

Authors:  Jiajian Shen; Wei Liu; Aman Anand; Joshua B Stoker; Xiaoning Ding; Mirek Fatyga; Michael G Herman; Martin Bues
Journal:  Med Phys       Date:  2015-03       Impact factor: 4.071

4.  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

5.  Monte Carlo study of radial energy deposition from primary and secondary particles for narrow and large proton beamlet source models.

Authors:  Christopher R Peeler; Uwe Titt
Journal:  Phys Med Biol       Date:  2012-05-23       Impact factor: 3.609

6.  Quantification of proton dose calculation accuracy in the lung.

Authors:  Clemens Grassberger; Juliane Daartz; Stephen Dowdell; Thomas Ruggieri; Greg Sharp; Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-04-11       Impact factor: 7.038

7.  Commissioning dose computation models for spot scanning proton beams in water for a commercially available treatment planning system.

Authors:  X R Zhu; F Poenisch; M Lii; G O Sawakuchi; U Titt; M Bues; X Song; X Zhang; Y Li; G Ciangaru; H Li; M B Taylor; K Suzuki; R Mohan; M T Gillin; N Sahoo
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

8.  Geometrical splitting technique to improve the computational efficiency in Monte Carlo calculations for proton therapy.

Authors:  José Ramos-Méndez; Joseph Perl; Bruce Faddegon; Jan Schümann; Harald Paganetti
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

9.  Pitfalls in the beam modelling process of Monte Carlo calculations for proton pencil beam scanning.

Authors:  Carla Winterhalter; Adam Aitkenhead; David Oxley; Jenny Richardson; Damien C Weber; Ranald I MacKay; Antony J Lomax; Sairos Safai
Journal:  Br J Radiol       Date:  2020-02-06       Impact factor: 3.039

Review 10.  Range Verification Methods in Particle Therapy: Underlying Physics and Monte Carlo Modeling.

Authors:  Aafke Christine Kraan
Journal:  Front Oncol       Date:  2015-07-07       Impact factor: 6.244

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.