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In this work we introduce a clinically oriented\nmethod to compare NIRS-based and LEM-based GyE systems, minimizing\ndifferences in physical dose distributions between treatment plans. Carbon ion\nplans were optimized on target volumes of cubic and spherical shapes, for RBEweighted dose prescription levels ranging from 3.6 to 4.4 GyE. Plans were\ncalculated for target sizes from 4 to 12 cm defining three beam geometries:\nsingle beam, opposed beam and orthogonal beam configurations. The two\ntreatment planning systems currently employed in clinical practice were used,\nproviding the NIRS-based and LEM-based GyE calculations. Physical dose\ndistributions of NIRS-based and LEM-based treatment plans were compared.\nLEM-based prescription doses that minimize differences in physical dose\ndistributions between the two systems were found. These doses were compared\nwith the mean RBE-weighted dose obtained with a Monte Carlo code (FLUKA)\ninterfaced with LEM I. 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Dose prescription in carbon ion radiotherapy: a planning study to compare NIRS and LEM approaches with a clinically-oriented strategy
https://repo.qst.go.jp/records/46493
https://repo.qst.go.jp/records/4649364fe44e5-d2a6-44fa-adac-fa04b5404472
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2013-02-16 | |||||
タイトル | ||||||
タイトル | Dose prescription in carbon ion radiotherapy: a planning study to compare NIRS and LEM approaches with a clinically-oriented strategy | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Fossati, Piero
× Fossati, Piero× Molinelli, Silvia× Matsufuji, Naruhiro× Mizoe, Junetsu× Hasegawa, Azusa× Imai, Reiko× Kamada, Tadashi× Tsujii, Hirohiko× et.al× Fossati Piero× Molinelli Silvia× 松藤 成弘× 溝江 純悦× 長谷川 安都佐× 今井 礼子× 鎌田 正× 辻井 博彦 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | In carbon ion radiotherapy there is an urgent clinical need to develop objective tools for the conversion of relative biological effectiveness (RBE)-weighted doses based on different models. In this work we introduce a clinically oriented method to compare NIRS-based and LEM-based GyE systems, minimizing differences in physical dose distributions between treatment plans. Carbon ion plans were optimized on target volumes of cubic and spherical shapes, for RBEweighted dose prescription levels ranging from 3.6 to 4.4 GyE. Plans were calculated for target sizes from 4 to 12 cm defining three beam geometries: single beam, opposed beam and orthogonal beam configurations. The two treatment planning systems currently employed in clinical practice were used, providing the NIRS-based and LEM-based GyE calculations. Physical dose distributions of NIRS-based and LEM-based treatment plans were compared. LEM-based prescription doses that minimize differences in physical dose distributions between the two systems were found. These doses were compared with the mean RBE-weighted dose obtained with a Monte Carlo code (FLUKA) interfaced with LEM I. In the investigated dose range, LEM-based RBEweighted prescription doses, that minimize differences with NIRS plans, should be higher than NIRS reported prescription doses. The optimal dose depends on target size, shape and position, number of beams and dose level. The opposed beam configuration resulted in the smallest average prescription dose difference (0.45 +/- 0.09 GyE). The second approach of recalculating NIRS RBE-weighted dose with a Monte Carlo code interfaced with LEM resulted in no significant difference with the results obtained from the planning study. The delivery of a voxel by voxel iso-effective plan, if different RBE models are employed, is not feasible; it is however possible to minimize differences in a treatment plan with the simple approach presented here. Dose prescription ultimately represents a clinical task under the responsibility of the radiation oncologist, the presented analysis intends to be a quantitative and objective way to assist the clinical decision. |
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書誌情報 |
Physics in Medicine and Biology 巻 57, 号 22, p. 7543-7554, 発行日 2012-10 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0031-9155 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1088/0031-9155/57/22/7543 |