Optimization of the fractionated irradiation scheme considering physical doses to tumor and organ at risk based on dose-volume histograms

Sugano, Yasutaka; Mizuta, Masahiro; Takao, Seishin; Shirato, Hiroki; Sutherland, Kenneth L.; Date, Hiroyuki

Optimization of the fractionated irradiation scheme considering physical doses to tumor and organ at risk based on dose-volume histograms

Sugano, Yasutaka; Mizuta, Masahiro; Takao, Seishin et al.

Medical physics, 2015, 42(11), 6203-6210

Permalink : https://hdl.handle.net/2115/63686

このアイテムのアクセス数:1,079件（2026-08-13 13:21 集計）

閲覧可能ファイル

ファイル	フォーマット	サイズ	閲覧回数	説明
Med Phys_42(11)_6203	pdf	440 KB	1,353

論文情報

ファイル出力 EndNote Basic出力 Mendeley出力

アクセス権	open access
URI	https://hdl.handle.net/2115/63686
タイトル	Optimization of the fractionated irradiation scheme considering physical doses to tumor and organ at risk based on dose-volume histograms
著者	Sugano, Yasutaka ; Mizuta, Masahiro ; Takao, Seishin ; Shirato, Hiroki ; Sutherland, Kenneth L. ; Date, Hiroyuki
著者名 Sugano, Yasutaka
e-Rad_Researcher 70174026 著者名 Mizuta, Masahiro
e-Rad_Researcher 10614216 著者名 Takao, Seishin
e-Rad_Researcher 20187537 著者名 Shirato, Hiroki
e-Rad_Researcher 30451446 著者名 Sutherland, Kenneth L.
e-Rad_Researcher 10197600 著者名 Date, Hiroyuki
言語	英語
キーワード	fractionated radiotherapy
	linear-quadratic (LQ) model
	universal survival curve (USC)
	repopulation of tumor cells
	dose-volume histogram (DVH)
発行日	2015-11
出版者	American Institute of Physics (AIP)
収録物名	Medical physics
巻(号)	42(11)
ページ	6203-6210
抄録	Purpose: Radiotherapy of solid tumors has been performed with various fractionation regimens such as multi- and hypofractionations. However, the ability to optimize the fractionation regimen considering the physical dose distribution remains insufficient. This study aims to optimize the fractionation regimen, in which the authors propose a graphical method for selecting the optimal number of fractions (n) and dose per fraction (d) based on dose-volume histograms for tumor and normal tissues of organs around the tumor. Methods: Modified linear-quadratic models were employed to estimate the radiation effects on the tumor and an organ at risk (OAR), where the repopulation of the tumor cells and the linearity of the dose-response curve in the high dose range of the surviving fraction were considered. The minimization problem for the damage effect on the OAR was solved under the constraint that the radiation effect on the tumor is fixed by a graphical method. Here, the damage effect on the OAR was estimated based on the dose-volume histogram. Results: It was found that the optimization of fractionation scheme incorporating the dose-volume histogram is possible by employing appropriate cell surviving models. The graphical method considering the repopulation of tumor cells and a rectilinear response in the high dose range enables them to derive the optimal number of fractions and dose per fraction. For example, in the treatment of prostate cancer, the optimal fractionation was suggested to lie in the range of 8-32 fractions with a daily dose of 2.2-6.3 Gy. Conclusions: It is possible to optimize the number of fractions and dose per fraction based on the physical dose distribution (i.e., dose-volume histogram) by the graphical method considering the effects on tumor and OARs around the tumor. This method may stipulate a new guideline to optimize the fractionation regimen for physics-guided fractionation. (C) 2015 American Association of Physicists in Medicine.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
PISSN	0094-2405
NCID	AA00727671
関連情報	PMID 26520713
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1118/1.4931969