Literature DB >> 11098922

Potential application of PET in quality assurance of proton therapy.

K Parodi1, W Enghardt.   

Abstract

Our investigation supporting the feasibility of in situ PET monitoring in proton therapy is presented. We simulated by means of the FLUKA code the number and the spatial distribution of the main beta+ emitters created in PMMA targets by protons at typical therapeutic energies. The quantitative comparison with the activation induced by 12C ions of energies corresponding to the same range shows that the available signal at the same physical dose level should be up to twice as intense for protons than that actually successfully used for the control of carbon ion therapy at GSI Darmstadt. The spatial correlation between the activity and the dose profile for protons is poorer than for 12C nuclei. However, an important check of the particle range, dose localization and stability of the treatment during all the fractions seems to be possible.

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Year:  2000        PMID: 11098922     DOI: 10.1088/0031-9155/45/11/403

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


  18 in total

1.  Initial development of goCMC: a GPU-oriented fast cross-platform Monte Carlo engine for carbon ion therapy.

Authors:  Nan Qin; Marco Pinto; Zhen Tian; Georgios Dedes; Arnold Pompos; Steve B Jiang; Katia Parodi; Xun Jia
Journal:  Phys Med Biol       Date:  2017-01-31       Impact factor: 3.609

2.  Clinical CT-based calculations of dose and positron emitter distributions in proton therapy using the FLUKA Monte Carlo code.

Authors:  K Parodi; A Ferrari; F Sommerer; H Paganetti
Journal:  Phys Med Biol       Date:  2007-05-17       Impact factor: 3.609

3.  Monitoring proton therapy with PET.

Authors:  H Paganetti; G El Fakhri
Journal:  Br J Radiol       Date:  2015-05-20       Impact factor: 3.039

4.  Monitoring proton radiation therapy with in-room PET imaging.

Authors:  Xuping Zhu; Samuel España; Juliane Daartz; Norbert Liebsch; Jinsong Ouyang; Harald Paganetti; Thomas R Bortfeld; Georges El Fakhri
Journal:  Phys Med Biol       Date:  2011-06-15       Impact factor: 3.609

5.  Simulation of positron emitters for monitoring of dose distribution in proton therapy.

Authors:  Mohsen Mashayekhi; Ali Asghar Mowlavi; Sayyed Bijan Jia
Journal:  Rep Pract Oncol Radiother       Date:  2016-10-31

6.  Mapping (15)O production rate for proton therapy verification.

Authors:  Kira Grogg; Nathaniel M Alpert; Xuping Zhu; Chul Hee Min; Mauro Testa; Brian Winey; Marc D Normandin; Helen A Shih; Harald Paganetti; Thomas Bortfeld; Georges El Fakhri
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-03-25       Impact factor: 7.038

7.  Proton therapy dosimetry using positron emission tomography.

Authors:  Matthew T Studenski; Ying Xiao
Journal:  World J Radiol       Date:  2010-04-28

8.  The reliability of proton-nuclear interaction cross-section data to predict proton-induced PET images in proton therapy.

Authors:  S España; X Zhu; J Daartz; G El Fakhri; T Bortfeld; H Paganetti
Journal:  Phys Med Biol       Date:  2011-04-05       Impact factor: 3.609

9.  Clinical application of in-room positron emission tomography for in vivo treatment monitoring in proton radiation therapy.

Authors:  Chul Hee Min; Xuping Zhu; Brian A Winey; Kira Grogg; Mauro Testa; Georges El Fakhri; Thomas R Bortfeld; Harald Paganetti; Helen A Shih
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-02-04       Impact factor: 7.038

10.  Evaluation of a stochastic reconstruction algorithm for use in Compton camera imaging and beam range verification from secondary gamma emission during proton therapy.

Authors:  Dennis Mackin; Steve Peterson; Sam Beddar; Jerimy Polf
Journal:  Phys Med Biol       Date:  2012-05-16       Impact factor: 3.609

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