@article{oai:repo.qst.go.jp:00046926,
 author = {Kase, Yuki and Yamashita, Wataru and Matsufuji, Naruhiro and Takada, Kenta and Sakae, Takeji and Furusawa, Yoshiya and Yamashita, Haruo and Murayama, Shigeyuki and 松藤 成弘 and 古澤 佳也},
 issue = {3},
 journal = {Journal of radiation research},
 month = {May},
 note = {The authors attempt to establish the relative biological effectiveness (RBE) calculation for designing therapeutic proton beams on the basis of microdosimetry. The tissue-equivalent proportional counter (TEPC) was used to measure microdosimetric lineal energy spectra for proton beams at various depths in a water phantom. An RBE-weighted absorbed dose is defined as an absorbed dose multiplied by an RBE for cell death of human salivary gland (HSG) tumor cells in this study. The RBE values were calculated by a modified microdosimetric kinetic model using the biological parameters for HSG tumor cells. The calculated RBE distributions showed a gradual increase to about 1cm short of a beam range and a steep increase around the beam range for both the mono-energetic and spread-out Bragg peak (SOBP) proton beams. The calculated RBE values were partially compared with a biological experiment in which the HSG tumor cells were irradiated by the SOBP beam except around the distal end. The RBE-weighted absorbed dose distribution for the SOBP beam was derived from the measured spectra for the mono-energetic beam by a mixing calculation, and it was confirmed that it agreed well with that directly derived from the microdosimetric spectra measured in the SOBP beam. The absorbed dose distributions to planarize the RBE-weighted absorbed dose were calculated in consideration of the RBE dependence on the prescribed absorbed dose and cellular radio-sensitivity. The results show that the microdosimetric measurement for the mono-energetic proton beam is also useful for designing RBE-weighted absorbed dose distributions for range-modulated proton beams.},
 pages = {485--493},
 title = {Microdosimetric calculation of relative biological effectiveness for design of therapeutic proton beams.},
 volume = {54},
 year = {2013}
}