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Optimization of irradiation interval for fractionated stereotactic radiosurgery by a cellular automata model with reoxygenation effects
https://hiroshima.repo.nii.ac.jp/records/2008639
https://hiroshima.repo.nii.ac.jp/records/2008639aad5be84-d6ad-4175-8dd2-1d2e8c193ab7
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
PhysMedBiol_65_085008.pdf (866.0 KB)
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| Item type | デフォルトアイテムタイプ_（フル）(1) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2023-03-18 | |||||||||||
| タイトル | ||||||||||||
| タイトル | Optimization of irradiation interval for fractionated stereotactic radiosurgery by a cellular automata model with reoxygenation effects | |||||||||||
| 言語 | en | |||||||||||
| 作成者 |
Kawahara, Daisuke
× Kawahara, Daisuke
× Wu, Lin
× Watanabe, Yoichi
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| アクセス権 | ||||||||||||
| アクセス権 | open access | |||||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||
| 権利情報 | ||||||||||||
| 権利情報 | This is an author-created, un-copyedited version of an article accepted for publication/published in Physics in Medicine & Biology. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at https://doi.org/10.1088/1361-6560/ab7974. | |||||||||||
| 権利情報 | ||||||||||||
| 権利情報 | This is not the published version. Please cite only the published version. この論文は出版社版ではありません。引用の際には出版社版をご確認、ご利用ください。 | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | automata model | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | radiation effect | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | hypoxia | |||||||||||
| 主題 | ||||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | SRS | |||||||||||
| 内容記述 | ||||||||||||
| 内容記述 | The current study aims to determine the optimal irradiation interval of fractionated stereotactic radiosurgery (SRS) by using an improved cellular automata (CA) model. The tumor growth process was simulated by considering the amount of oxygen and the density of blood vessels, which supplied oxygen and nutrient required for cell growth. Cancer cells died by the mitotic death process due to radiation, which was quantified by the LQ-model, or the apoptosis due to the lack of nutrients. The radiation caused increased permeation of plasma protein through the blood vessel or the breakdown of the vasculature. Consequently, these changes lead to a change in radiation sensitivity of cancer cells and tumor growth rate after irradiation. The optimal model parameters were determined with experimental data of the rat tumor volume. The tumor control probability (TCP) was defined as the ratio of the number of histories in which all cancer cells died after the irradiation to the total number of the histories per simulation. The optimal irradiation interval was defined as the irradiation interval that TCP was the maximum. For one fractionation treatment, the ratio of hypoxic cells to the total number of cancer cells kept decreasing until day 16th after irradiation; whereas the number of surviving cancer cells begun increasing immediately after irradiation. This intricate relationship between the hypoxia (or reoxygenation) and the number of cancer cells lead to an optimal irradiation interval for the second irradiation. The optimal irradiation interval for two-fraction SRS was six days. The optimum intervals for the first-second irradiations and the second-third irradiations were five and two days, respectively, for three fraction SRS. For 4 and 5-fraction treatments, the optimum first-interval was five days, which was similar to three fraction treatment. The remaining intervals should be one day. We showed that the improved CA model could be used to optimize the irradiation interval by explicitly including the reoxygenation after irradiation in the model. | |||||||||||
| 言語 | en | |||||||||||
| 内容記述 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | The part of the work was previously published as an electronic poster at the annual meeting of the American Association of Physicists in Medicine, San Antonio, Texas, USA, July 13-18, 2019. | |||||||||||
| 出版者 | ||||||||||||
| 出版者 | Institute of Physics and Engineering in Medicine | |||||||||||
| 出版者 | ||||||||||||
| 出版者 | IOP Publishing | |||||||||||
| 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 | |||||||||||
| 出版タイプ | ||||||||||||
| 出版タイプ | AO | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_b1a7d7d4d402bcce | |||||||||||
| 関連情報 | ||||||||||||
| 識別子タイプ | DOI | |||||||||||
| 関連識別子 | 10.1088/1361-6560/ab7974 | |||||||||||
| 関連情報 | ||||||||||||
| 識別子タイプ | PMID | |||||||||||
| 関連識別子 | 32092715 | |||||||||||
| 関連情報 | ||||||||||||
| 識別子タイプ | DOI | |||||||||||
| 関連識別子 | https://doi.org/10.1088/1361-6560/ab7974 | |||||||||||
| 収録物識別子 | ||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||
| 収録物識別子 | 0031-9155 | |||||||||||
| 収録物識別子 | ||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||
| 収録物識別子 | 1361-6560 | |||||||||||
| 開始ページ | ||||||||||||
| 開始ページ | 085008 | |||||||||||
| 書誌情報 |
Physics in Medicine & Biology Physics in Medicine & Biology 巻 65, 号 8, p. 085008, 発行日 2020-04-20 |
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| 旧ID | 50435 | |||||||||||
| 備考 | Post-print version/PDF may be used in an institutional repository after an embargo period of 12 months. | |||||||||||
