WEKO3
アイテム
Stochastic microdosimetric kinetic model for hypo-fractionated multi-ion therapy
https://repo.qst.go.jp/records/79005
https://repo.qst.go.jp/records/790056a31a1f4-653c-48d6-b52d-bb001eade11c
Item type | 会議発表用資料 / Presentation(1) | |||||
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公開日 | 2020-02-19 | |||||
タイトル | ||||||
タイトル | Stochastic microdosimetric kinetic model for hypo-fractionated multi-ion therapy | |||||
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_c94f | |||||
資源タイプ | conference object | |||||
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 |
Inaniwa, Taku
× Inaniwa, Taku× Suzuki, Masao× Sung-Hyun, Lee× Sakata, Dousatsu× Inaniwa, Taku× Suzuki, Masao× Sung-Hyun, Lee× Sakata, Dousatsu |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | To date, more than 10,000 patients of various tumour sites have been treated with therapeutic carbon-ion beams at the National Institute of Radiological Sciences (NIRS). In carbon-ion radiotherapy treatment planning, the biological effectiveness of the therapeutic beams has to be predicted based on one of biological models. The microdosimetric kinetic (MK) model1'2 has been used for this purpose at the NIRS. For further development of heavy-ion radiotherapy, we started a research project of a hypo-fractionated multi-ion radiotherapy, termed as a "Quantum Knife". In the Quantum Knife, heavy ions up to neon are assumed as therapeutic ion species. Recent study revealed that the MK model may overestimate the biological effectiveness of heavy ions with linear energy transfer (LET) > 150 keV/^m, especially at high dose region.3 Thus, the MK model should be updated so that it is applicable in treatment planning of the quantum knife. In this study, a biological model, namely a stochastic microdosimetric kinetic (SMK) model, will be reviewed and tested for in-vitro cell-survival fraction data. |
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会議概要(会議名, 開催地, 会期, 主催者等) | ||||||
内容記述タイプ | Other | |||||
内容記述 | Mini- Micro- Nano- Dosimetry (MMND) 2020 | |||||
発表年月日 | ||||||
日付 | 2020-02-11 | |||||
日付タイプ | Issued |