Literature DB >> 35737156

Calculation of the Biological Efficiency of the Proton Component from 14.8 MeV Neutron Irradiation in Computational Biology with Help of Video Cards.

K B Gordon1,2, V O Saburov3, S N Koryakin3, I A Gulidov3, T Kh Fatkhudinov4, I V Arutyunyan5, A D Kaprin4, A N Solov'ev3.   

Abstract

Fast neutron therapy, which previously has demonstrated effective results, but along with a large number of complications, can again be considered a promising treatment method in the treatment of cancer. One of the ways of analyzing the relative biological efficiency and accurate biological dose of fast neutrons in body tissues is to improve the algorithms of computational biology and mathematical modeling. A high-performance computing code was written which allows to estimate in real-time mode the biological dose of the proton component from the action of neutron radiation with an energy of 14.8 MeV. A comparative analysis of the computing performance on various video cards was also performed.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  computational biology; fast neutron therapy; mathematical modeling; proton component; radiobiology

Mesh:

Substances:

Year:  2022        PMID: 35737156     DOI: 10.1007/s10517-022-05534-y

Source DB:  PubMed          Journal:  Bull Exp Biol Med        ISSN: 0007-4888            Impact factor:   0.804


  10 in total

1.  Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions.

Authors:  W Schneider; T Bortfeld; W Schlegel
Journal:  Phys Med Biol       Date:  2000-02       Impact factor: 3.609

2.  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

3.  TPS(PET)-A TPS-based approach for in vivo dose verification with PET in proton therapy.

Authors:  K Frey; J Bauer; D Unholtz; C Kurz; M Krämer; T Bortfeld; K Parodi
Journal:  Phys Med Biol       Date:  2013-12-10       Impact factor: 3.609

4.  Microdosimetric structure of heavy ion tracks in tissue.

Authors:  A Chatterjee; H J Schaefer
Journal:  Radiat Environ Biophys       Date:  1976-10-07       Impact factor: 1.925

5.  The application of amorphous track models to study cell survival in heavy ions beams.

Authors:  L Grzanka; S Greilich; M Korcyl; O Jäkel; M Waligórski; P Olko
Journal:  Radiat Prot Dosimetry       Date:  2011-01-12       Impact factor: 0.972

Review 6.  [On the state and prospects of development of remote neutron therapy].

Authors:  I A Gulidov; I P Aslanidi
Journal:  Vopr Onkol       Date:  2014

7.  A model of ion track structure based on classical collision dynamics.

Authors:  J Kiefer; H Straaten
Journal:  Phys Med Biol       Date:  1986-11       Impact factor: 3.609

8.  Proton beam therapy in Europe: more centres need more research.

Authors:  Marco Durante
Journal:  Br J Cancer       Date:  2018-12-11       Impact factor: 7.640

9.  Fast robust dose calculation on GPU for high-precision 1H, 4He, 12C and 16O ion therapy: the FRoG platform.

Authors:  Stewart Mein; Kyungdon Choi; Benedikt Kopp; Thomas Tessonnier; Julia Bauer; Alfredo Ferrari; Thomas Haberer; Jürgen Debus; Amir Abdollahi; Andrea Mairani
Journal:  Sci Rep       Date:  2018-10-04       Impact factor: 4.379

  10 in total
  1 in total

1.  Hypersensitivity and Induced Radioresistance in Chinese Hamster Cells Exposed to Radiations with Different LET Values.

Authors:  Ekaterina Koryakina; Vladimir I Potetnya; Marina Troshina; Raisa Baykuzina; Sergey Koryakin; Anatoliy Lychagin; Aleksei Solovev; Vyacheslav Saburov; Vladimir Pikalov; Petr Shegay; Sergey Ivanov; Andrey Kaprin
Journal:  Int J Mol Sci       Date:  2022-06-17       Impact factor: 6.208

  1 in total

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