Literature DB >> 26147442

Comparison of linear energy transfer scoring techniques in Monte Carlo simulations of proton beams.

Dal A Granville1, Gabriel O Sawakuchi.   

Abstract

Monte Carlo (MC) simulations are commonly used to study linear energy transfer (LET) distributions in therapeutic proton beams. Various techniques have been used to score LET in MC simulations. The goal of this work was to compare LET distributions obtained using different LET scoring techniques and examine the sensitivity of these distributions to changes in commonly adjusted simulation parameters. We used three different techniques to score average proton LET in TOPAS, which is a MC platform based on the Geant4 simulation toolkit. We determined the sensitivity of each scoring technique to variations in the range production thresholds for secondary electrons and protons. We also compared the depth-LET distributions that we acquired using each technique in a simple monoenergetic proton beam and in a more clinically relevant modulated proton therapy beam. Distributions of both fluence-averaged LET (LETΦ) and dose-averaged LET (LETD) were studied. We found that LETD values varied more between different scoring techniques than the LETΦ values did, and different LET scoring techniques showed different sensitivities to changes in simulation parameters.

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Year:  2015        PMID: 26147442     DOI: 10.1088/0031-9155/60/14/N283

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


  9 in total

1.  Analysis of the track- and dose-averaged LET and LET spectra in proton therapy using the geant4 Monte Carlo code.

Authors:  Fada Guan; Christopher Peeler; Lawrence Bronk; Changran Geng; Reza Taleei; Sharmalee Randeniya; Shuaiping Ge; Dragan Mirkovic; David Grosshans; Radhe Mohan; Uwe Titt
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

2.  Nanoscale measurements of proton tracks using fluorescent nuclear track detectors.

Authors:  Gabriel O Sawakuchi; Felisberto A Ferreira; Conor H McFadden; Timothy M Hallacy; Dal A Granville; Narayan Sahoo; Mark S Akselrod
Journal:  Med Phys       Date:  2016-05       Impact factor: 4.071

3.  Simultaneous optimization of RBE-weighted dose and nanometric ionization distributions in treatment planning with carbon ions.

Authors:  Lucas N Burigo; José Ramos-Méndez; Mark Bangert; Reinhard W Schulte; Bruce Faddegon
Journal:  Phys Med Biol       Date:  2019-01-04       Impact factor: 3.609

4.  Recent developments and comprehensive evaluations of a GPU-based Monte Carlo package for proton therapy.

Authors:  Nan Qin; Pablo Botas; Drosoula Giantsoudi; Jan Schuemann; Zhen Tian; Steve B Jiang; Harald Paganetti; Xun Jia
Journal:  Phys Med Biol       Date:  2016-10-03       Impact factor: 3.609

5.  The TOPAS tool for particle simulation, a Monte Carlo simulation tool for physics, biology and clinical research.

Authors:  Bruce Faddegon; José Ramos-Méndez; Jan Schuemann; Aimee McNamara; Jungwook Shin; Joseph Perl; Harald Paganetti
Journal:  Phys Med       Date:  2020-04-03       Impact factor: 2.685

6.  Monte Carlo simulation of chemistry following radiolysis with TOPAS-nBio.

Authors:  J Ramos-Méndez; J Perl; J Schuemann; A McNamara; H Paganetti; B Faddegon
Journal:  Phys Med Biol       Date:  2018-05-17       Impact factor: 3.609

7.  Investigating Dependencies of Relative Biological Effectiveness for Proton Therapy in Cancer Cells.

Authors:  Michelle E Howard; Chris Beltran; Sarah Anderson; Wan Chan Tseung; Jann N Sarkaria; Michael G Herman
Journal:  Int J Part Ther       Date:  2018-03-21

8.  Standardizing Monte Carlo simulation parameters for a reproducible dose-averaged linear energy transfer.

Authors:  Wei Yang Calvin Koh; Hong Qi Tan; Khong Wei Ang; Sung Yong Park; Wen Siang Lew; James Cheow Lei Lee
Journal:  Br J Radiol       Date:  2020-07-15       Impact factor: 3.039

9.  In Silico Models of DNA Damage and Repair in Proton Treatment Planning: A Proof of Concept.

Authors:  Edward A K Smith; N T Henthorn; J W Warmenhoven; S P Ingram; A H Aitkenhead; J C Richardson; P Sitch; A L Chadwick; T S A Underwood; M J Merchant; N G Burnet; N F Kirkby; K J Kirkby; R I Mackay
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

  9 in total

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