Literature DB >> 21160135

Relation between lineal energy distribution and relative biological effectiveness for photon beams according to the microdosimetric kinetic model.

Hiroyuki Okamoto1, Tatsuaki Kanai, Yuki Kase, Yoshitaka Matsumoto, Yoshiya Furusawa, Yukio Fujita, Hidetoshi Saitoh, Jun Itami, Toshiyuki Kohno.   

Abstract

Our cell survival data showed the obvious dependence of RBE on photon energy: The RBE value for 200 kV X-rays was approximately 10% greater than those for mega-voltage photon beams. In radiation therapy using mega-voltage photon beams, the photon energy distribution outside the field is different with that in the radiation field because of a large number of low energy scattering photons. Hence, the RBE values outside the field become greater. To evaluate the increase in RBE, the method of deriving the RBE using the Microdosimetric Kinetic model (MK model) was proposed in this study. The MK model has two kinds of the parameters, tissue-specific parameters and the dose-mean lineal energy derived from the lineal energy distributions measured with a Tissue-Equivalent Proportional Counter (TEPC). The lineal energy distributions with the same geometries of the cell irradiations for 200 kV X-rays, (60)Co γ-rays, and 6 MV X-rays were obtained with the TEPC and Monte Carlo code GEANT4. The measured lineal energy distribution for 200 kV X-rays was quite different from those for mega-voltage photon beams. The dose-mean lineal energy of 200 kV X-rays showed the greatest value, 4.51 keV/µm, comparing with 2.34 and 2.36 keV/µm for (60)Co γ-rays and 6 MV X-rays, respectively. By using the results of the TEPC and cell irradiations, the tissue-specific parameters in the MK model were determined. As a result, the RBE of the photon beams (y(D): 2~5 keV/µm) in arbitrary conditions can be derived by the measurements only or the calculations only of the dose-mean lineal energy.

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Year:  2010        PMID: 21160135     DOI: 10.1269/jrr.10073

Source DB:  PubMed          Journal:  J Radiat Res        ISSN: 0449-3060            Impact factor:   2.724


  22 in total

1.  Commissioning of 6 MV medical linac for dynamic MLC-based IMRT on Monte Carlo code GEANT4.

Authors:  Hiroyuki Okamoto; Yukio Fujita; Kyoko Sakama; Hidetoshi Saitoh; Tatsuaki Kanai; Jun Itami; Toshiyuki Kohno
Journal:  Radiol Phys Technol       Date:  2014-02-08

Review 2.  Radiobiological issues in proton therapy.

Authors:  Radhe Mohan; Christopher R Peeler; Fada Guan; Lawrence Bronk; Wenhua Cao; David R Grosshans
Journal:  Acta Oncol       Date:  2017-08-22       Impact factor: 4.089

3.  Performance Evaluation for Repair of HSGc-C5 Carcinoma Cell Using Geant4-DNA.

Authors:  Dousatsu Sakata; Masao Suzuki; Ryoichi Hirayama; Yasushi Abe; Masayuki Muramatsu; Shinji Sato; Oleg Belov; Ioanna Kyriakou; Dimitris Emfietzoglou; Susanna Guatelli; Sebastien Incerti; Taku Inaniwa
Journal:  Cancers (Basel)       Date:  2021-11-30       Impact factor: 6.639

4.  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

5.  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

6.  Modeling Cell Survival Fraction and Other Dose-Response Relationships for Immunodeficient C.B-17 SCID Mice Exposed to 320-kV X Rays.

Authors:  Bobby R Scott; Yong Lin; Bryanna Saxton; Wenshu Chen; Charles A Potter; Steven A Belinsky
Journal:  Dose Response       Date:  2021-05-31       Impact factor: 2.658

7.  Evaluation of the cell survival curve under radiation exposure based on the kinetics of lesions in relation to dose-delivery time.

Authors:  Yusuke Matsuya; Kaori Tsutsumi; Kohei Sasaki; Hiroyuki Date
Journal:  J Radiat Res       Date:  2014-10-29       Impact factor: 2.724

8.  Biological dose-enhancement analysis with Monte Carlo simulation for Lipiodol for photon beams.

Authors:  Daisuke Kawahara; Shuichi Ozawa; Hisashi Nakano; Katsumaro Kubo; Takehiro Shiinoki; Tomoki Kimura; Yasushi Nagata
Journal:  Rep Pract Oncol Radiother       Date:  2019-11-08

9.  Microdosimetric calculation of relative biological effectiveness for design of therapeutic proton beams.

Authors:  Yuki Kase; Wataru Yamashita; Naruhiro Matsufuji; Kenta Takada; Takeji Sakae; Yoshiya Furusawa; Haruo Yamashita; Shigeyuki Murayama
Journal:  J Radiat Res       Date:  2012-11-23       Impact factor: 2.724

10.  Enhanced radiobiological effects at the distal end of a clinical proton beam: in vitro study.

Authors:  Yoshitaka Matsumoto; Taeko Matsuura; Mami Wada; Yusuke Egashira; Teiji Nishio; Yoshiya Furusawa
Journal:  J Radiat Res       Date:  2014-05-13       Impact factor: 2.724

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