Literature DB >> 7972689

A statistical theory of cell killing by radiation of varying linear energy transfer.

R B Hawkins1.   

Abstract

A theory is presented that provides an explanation for the observed features of the survival of cultured cells after exposure to densely ionizing high-linear energy transfer (LET) radiation. It starts from a phenomenological postulate based on the linear-quadratic form of cell survival observed for low-LET radiation and uses principles of statistics and fluctuation theory to demonstrate that the effect of varying LET on cell survival can be attributed to random variation of dose to small volumes contained within the nucleus. A simple relation is presented for surviving fraction of cells after exposure to radiation of varying LET that depends on the alpha and beta parameters for the same cells in the limit of low-LET radiation. This relation implies that the value of beta is independent of LET. Agreement of the theory with selected observations of cell survival from the literature is demonstrated. A relation is presented that gives relative biological effectiveness (RBE) as a function of the alpha and beta parameters for low-LET radiation. Measurements from microdosimetry are used to estimate the size of the subnuclear volume to which the fluctuation pertains.

Mesh:

Year:  1994        PMID: 7972689

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  32 in total

1.  Accuracy of RBE: experimental and theoretical considerations.

Authors:  T Friedrich; W Weyrather; T Elsässer; M Durante; M Scholz
Journal:  Radiat Environ Biophys       Date:  2010-06-17       Impact factor: 1.925

2.  A formulation of cell surviving fraction after radiation exposure.

Authors:  Hiroyuki Date; Kosuke Wakui; Kohei Sasaki; Takahiro Kato; Takeshi Nishioka
Journal:  Radiol Phys Technol       Date:  2013-11-28

Review 3.  Proton RBE dependence on dose in the setting of hypofractionation.

Authors:  Thomas Friedrich
Journal:  Br J Radiol       Date:  2019-08-28       Impact factor: 3.039

4.  Extension of TOPAS for the simulation of proton radiation effects considering molecular and cellular endpoints.

Authors:  Lisa Polster; Jan Schuemann; Ilaria Rinaldi; Lucas Burigo; Aimee L McNamara; Robert D Stewart; Andrea Attili; David J Carlson; Tatsuhiko Sato; José Ramos Méndez; Bruce Faddegon; Joseph Perl; Harald Paganetti
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

5.  Implications of radiation microdosimetry for accelerator-based boron neutron capture therapy: a radiobiological perspective.

Authors:  Hisanori Fukunaga; Yusuke Matsuya; Koichi Tokuuye; Motoko Omura
Journal:  Br J Radiol       Date:  2020-05-14       Impact factor: 3.039

6.  Quantitative estimation of DNA damage by photon irradiation based on the microdosimetric-kinetic model.

Authors:  Yusuke Matsuya; Yosuke Ohtsubo; Kaori Tsutsumi; Kohei Sasaki; Rie Yamazaki; Hiroyuki Date
Journal:  J Radiat Res       Date:  2014-02-09       Impact factor: 2.724

7.  Full Monte Carlo-Based Biologic Treatment Plan Optimization System for Intensity Modulated Carbon Ion Therapy on Graphics Processing Unit.

Authors:  Nan Qin; Chenyang Shen; Min-Yu Tsai; Marco Pinto; Zhen Tian; Georgios Dedes; Arnold Pompos; Steve B Jiang; Katia Parodi; Xun Jia
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-09-12       Impact factor: 7.038

8.  Dose compensation based on biological effectiveness due to interruption time for photon radiation therapy.

Authors:  Daisuke Kawahara; Hisashi Nakano; Akito Saito; Shuichi Ozawa; Yasushi Nagata
Journal:  Br J Radiol       Date:  2020-05-07       Impact factor: 3.039

9.  Generalized stochastic microdosimetric model: The main formulation.

Authors:  F Cordoni; M Missiaggia; A Attili; S M Welford; E Scifoni; C La Tessa
Journal:  Phys Rev E       Date:  2021-01       Impact factor: 2.529

10.  RBE Model-Based Biological Dose Optimization for Proton Radiobiology Studies.

Authors:  Fada Guan; Changran Geng; Duo Ma; Lawrence Bronk; Matthew Kerr; Yuting Li; Drake Gates; Benjamin Kroger; Narayan Sahoo; Uwe Titt; David Grosshans; Radhe Mohan
Journal:  Int J Part Ther       Date:  2018-09-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.