Literature DB >> 24828462

A Monte Carlo study for the calculation of the average linear energy transfer (LET) distributions for a clinical proton beam line and a radiobiological carbon ion beam line.

F Romano1, G A P Cirrone, G Cuttone, F Di Rosa, S E Mazzaglia, I Petrovic, A Ristic Fira, A Varisano.   

Abstract

Fluence, depth absorbed dose and linear energy transfer (LET) distributions of proton and carbon ion beams have been investigated using the Monte Carlo code Geant4 (GEometry ANd Tracking). An open source application was developed with the aim to simulate two typical transport beam lines, one used for ocular therapy and cell irradiations with protons and the other for cell irradiations with carbon ions. This tool allows evaluation of the primary and total dose averaged LET and predict their spatial distribution in voxelized or sliced geometries. In order to reproduce the LET distributions in a realistic way, and also the secondary particles' contributions due to nuclear interactions were considered in the computations. Pristine and spread-out Bragg peaks were taken into account both for proton and carbon ion beams, with the maximum energy of 62 MeV/n. Depth dose distributions were compared with experimental data, showing good agreement. Primary and total LET distributions were analysed in order to study the influence of contributions of secondary particles in regions at different depths. A non-negligible influence of high-LET components was found in the entrance channel for proton beams, determining the total dose averaged LET by the factor 3 higher than the primary one. A completely different situation was obtained for carbon ions. In this case, secondary particles mainly contributed in the tail that is after the peak. The results showed how the weight of light and heavy secondary ions can considerably influence the computation of LET depth distributions. This has an important role in the interpretation of results coming from radiobiological experiments and, therefore, in hadron treatment planning procedures.

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Year:  2014        PMID: 24828462     DOI: 10.1088/0031-9155/59/12/2863

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


  13 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.  Comparison of human lung cancer cell radiosensitivity after irradiations with therapeutic protons and carbon ions.

Authors:  Otilija D Keta; Danijela V Todorović; Tanja M Bulat; Pablo Ga Cirrone; Francesco Romano; Giacomo Cuttone; Ivan M Petrović; Aleksandra M Ristić Fira
Journal:  Exp Biol Med (Maywood)       Date:  2016-09-15

3.  Experimental depth dose curves of a 67.5 MeV proton beam for benchmarking and validation of Monte Carlo simulation.

Authors:  Bruce A Faddegon; Jungwook Shin; Carlos M Castenada; José Ramos-Méndez; Inder K Daftari
Journal:  Med Phys       Date:  2015-07       Impact factor: 4.071

4.  Gene expression profiling of breast cancer cell lines treated with proton and electron radiations.

Authors:  Valentina Bravatà; Luigi Minafra; Francesco Paolo Cammarata; Pietro Pisciotta; Debora Lamia; Valentina Marchese; Giada Petringa; Lorenzo Manti; Giuseppe Ap Cirrone; Maria Carla Gilardi; Giacomo Cuttone; Giusi Irma Forte; Giorgio Russo
Journal:  Br J Radiol       Date:  2018-07-05       Impact factor: 3.039

5.  A new approach to integrate GPU-based Monte Carlo simulation into inverse treatment plan optimization for proton therapy.

Authors:  Yongbao Li; Zhen Tian; Ting Song; Zhaoxia Wu; Yaqiang Liu; Steve Jiang; Xun Jia
Journal:  Phys Med Biol       Date:  2016-12-17       Impact factor: 3.609

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.  Robust intensity-modulated proton therapy to reduce high linear energy transfer in organs at risk.

Authors:  Yu An; Jie Shan; Samir H Patel; William Wong; Steven E Schild; Xiaoning Ding; Martin Bues; Wei Liu
Journal:  Med Phys       Date:  2017-10-26       Impact factor: 4.071

8.  New Ions for Therapy.

Authors:  Francesco Tommasino; Emanuele Scifoni; Marco Durante
Journal:  Int J Part Ther       Date:  2016-02-09

9.  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

10.  Optimization of treatment planning for hypoxic tumours and re-modulation of radiation intensity in heavy-ion radiotherapy.

Authors:  Ladan Rezaee
Journal:  Rep Pract Oncol Radiother       Date:  2019-12-17
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