異なる線量正規化法による電子線モンテカルロ計算と従来の手計算法とのモニタユニット比較
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| Published in | 日本放射線技術学会雑誌 Vol. 75; no. 8; pp. 755 - 764 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
公益社団法人 日本放射線技術学会
2019
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0369-4305 1881-4883 |
| DOI | 10.6009/jjrt.2019_JSRT_75.8.755 |
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| Author | 藤本, 隆広 塩路, 真紀 石原, 佳知 中村, 光宏 中田, 学 |
|---|---|
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| References | 21) 日本医学物理学会編．外部放射線治療における水吸収線量の標準計測法(標準計測法12)．東京：通商産業研究社，2012. 1) 日本乳癌学会編．乳癌診療ガイドライン1 治療編2018 年版第4 版．東京：金原出版，2018. 15) Chamberland E, Beaulieu L, Lachance B. Evaluation of an electron Monte Carlo dose calculation algorithm for treatment planning. J Appl Clin Med Phys 2015; 16(3): 60–79. 20) Gibbons JP, Antolak JA, Followill DS, et al. Monitor unit calculations for external photon and electron beams: report of the AAPM Therapy Physics Committee Task Group No. 71. Med Phys 2014; 41(3): 031501. 7) Ding GX, Duggan DM, Coffey CW, et al. First macro Monte Carlo based commercial dose calculation module for electron beam treatment planning--new issues for clinical consideration. Phys Med Biol 2006; 51(11): 2781–2799. 11) 保科正夫編．第4 章放射線計測(電子線)．放射線治療技術の標準．東京，日本放射線技師会出版会，2007: 195–222. 8) Neuenschwander H, Mackie TR, Reckwerdt PJ. MMC--a high-performance Monte Carlo code for electron beam treatment planning. Phys Med Biol 1995; 40(4): 543–574. 2) 関口建次，藤田幸男，三浦正史，他．乳癌・術後照射の実践的テクニック(2)．臨放2018; 63(11): 1221–1231. 5) Gahbauer R, Landberg T, Chavaudra J, et al. Prescribing, recording, and reporting electron beam therapy. J ICRU 2004; 4 (1): 2. doi: 10.1093/jicru/ndh001. 13) Zhang A, Wen N, Nurushev T, et al. Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm. J Appl Clin Med Phys 2013; 14(2): 127–145. 3) Kokubo M, Mitsumori M, Yamamoto C, et al. Impact of boost irradiation with surgically placed radiopaque clips on local control in breast-conserving therapy. Breast Cancer 2001; 8(3): 222–228. 23) Fix MK, Frei D, Volken W, et al. Monte Carlo dose calculation improvements for low energy electron beams using eMC. Phys Med Biol 2010; 55(16): 4577–4588. 25) Khan FM, Gibbons J, Mihailidis D, et al. Chapter 14, Electron beam therapy. Handbook of the Physics of Radiation Therapy. Fourth edition. Philadelphia, PA: Lippincott Williams & Wilkins 2010; 264–314. 4) Hepel JT, Evans SB, Hiatt JR, et al. Planning the breast boost: comparison of three techniques and evolution of tumor bed during treatment. Int J Radiat Oncol Biol Phys 2009; 74(2): 458–463. 9) Xu ZG, Walsh SE, Telivala TP, et al. Evaluation of the eclipse electron Monte Carlo dose calculation for small fields. J Appl Clin Med Phys 2009; 10(3): 75–85. 16) Łukomska S, Kukolowicz P, Zawadzka A, et al. Evaluation of the usefulness of the electron Monte Carlo algorithm for planning radiotherapy with the use of electron beams. Pol J Med Phys Eng 2016; 22(3): 49–54. 12) Lawrence SL, van Lieshout NHM, Charland PM. Assessment of Eclipse electron Monte Carlo output prediction for various topologies. J Appl Clin Med Phys 2015; 16(3): 99–106. 18) Hu YA, Song H, Chen Z, et al. Evaluation of an electron Monte Carlo dose calculation algorithm for electron beams. J Appl Clin Med Phys 2008; 9(3): 1–15. 6) Ding GX, Cygler JE, Yu CW, et al. A comparison of electron beam dose calculation accuracy between treatment planning systems using either a pencil beam or a Monte Carlo algorithm. Int J Radiat Oncol Biol Phys 2005; 63(2): 622–633. 19) Varian Medical Systems. Eclipse Photon and Electron Algorithms Reference Guide. Chapter 8, Electron Monte Carlo Algorithm (eMC). Palo Alto, CA: Varian Medical Systems, 2016; 149–174. 24) Ten Haken RK, Fraass BA, Jost RJ. Practical methods of electron depth-dose measurement compared to use of the NACP design chamber in water. Med Phys 1987; 14(6): 1060–1066. 14) Ojala J, Hyödynmaa S, Barańczyk R, et al. Performance of two commercial electron beam algorithms over regions close to the lung-mediastinum interface, against Monte Carlo simulation and point dosimetry in virtual and anthropomorphic phantoms. Phys Med 2014; 30(2): 147–154. 17) Ojala J, Kapanen M, Hyödynmaa S. Full Monte Carlo and measurement-based overall performance assessment of improved clinical implementation of eMC algorithm with emphasis on lower energy range. Phys Med 2016; 32(6): 801–811. 10) Popple RA, Weinberg R, Antolak JA, et al. Comprehensive evaluation of a commercial macro Monte Carlo electron dose calculation implementation using a standard verification data set. Med Phys 2006; 33(6): 1540–1551. 22) Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant 2013; 48(3): 452–458. |
| References_xml | – reference: 20) Gibbons JP, Antolak JA, Followill DS, et al. Monitor unit calculations for external photon and electron beams: report of the AAPM Therapy Physics Committee Task Group No. 71. Med Phys 2014; 41(3): 031501. – reference: 24) Ten Haken RK, Fraass BA, Jost RJ. Practical methods of electron depth-dose measurement compared to use of the NACP design chamber in water. Med Phys 1987; 14(6): 1060–1066. – reference: 19) Varian Medical Systems. Eclipse Photon and Electron Algorithms Reference Guide. Chapter 8, Electron Monte Carlo Algorithm (eMC). Palo Alto, CA: Varian Medical Systems, 2016; 149–174. – reference: 23) Fix MK, Frei D, Volken W, et al. Monte Carlo dose calculation improvements for low energy electron beams using eMC. Phys Med Biol 2010; 55(16): 4577–4588. – reference: 11) 保科正夫編．第4 章放射線計測(電子線)．放射線治療技術の標準．東京，日本放射線技師会出版会，2007: 195–222. – reference: 2) 関口建次，藤田幸男，三浦正史，他．乳癌・術後照射の実践的テクニック(2)．臨放2018; 63(11): 1221–1231. – reference: 14) Ojala J, Hyödynmaa S, Barańczyk R, et al. Performance of two commercial electron beam algorithms over regions close to the lung-mediastinum interface, against Monte Carlo simulation and point dosimetry in virtual and anthropomorphic phantoms. Phys Med 2014; 30(2): 147–154. – reference: 4) Hepel JT, Evans SB, Hiatt JR, et al. Planning the breast boost: comparison of three techniques and evolution of tumor bed during treatment. Int J Radiat Oncol Biol Phys 2009; 74(2): 458–463. – reference: 15) Chamberland E, Beaulieu L, Lachance B. Evaluation of an electron Monte Carlo dose calculation algorithm for treatment planning. J Appl Clin Med Phys 2015; 16(3): 60–79. – reference: 16) Łukomska S, Kukolowicz P, Zawadzka A, et al. Evaluation of the usefulness of the electron Monte Carlo algorithm for planning radiotherapy with the use of electron beams. Pol J Med Phys Eng 2016; 22(3): 49–54. – reference: 18) Hu YA, Song H, Chen Z, et al. Evaluation of an electron Monte Carlo dose calculation algorithm for electron beams. J Appl Clin Med Phys 2008; 9(3): 1–15. – reference: 8) Neuenschwander H, Mackie TR, Reckwerdt PJ. MMC--a high-performance Monte Carlo code for electron beam treatment planning. Phys Med Biol 1995; 40(4): 543–574. – reference: 5) Gahbauer R, Landberg T, Chavaudra J, et al. Prescribing, recording, and reporting electron beam therapy. J ICRU 2004; 4 (1): 2. doi: 10.1093/jicru/ndh001. – reference: 25) Khan FM, Gibbons J, Mihailidis D, et al. Chapter 14, Electron beam therapy. Handbook of the Physics of Radiation Therapy. Fourth edition. Philadelphia, PA: Lippincott Williams & Wilkins 2010; 264–314. – reference: 6) Ding GX, Cygler JE, Yu CW, et al. A comparison of electron beam dose calculation accuracy between treatment planning systems using either a pencil beam or a Monte Carlo algorithm. Int J Radiat Oncol Biol Phys 2005; 63(2): 622–633. – reference: 13) Zhang A, Wen N, Nurushev T, et al. Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm. J Appl Clin Med Phys 2013; 14(2): 127–145. – reference: 9) Xu ZG, Walsh SE, Telivala TP, et al. Evaluation of the eclipse electron Monte Carlo dose calculation for small fields. J Appl Clin Med Phys 2009; 10(3): 75–85. – reference: 10) Popple RA, Weinberg R, Antolak JA, et al. Comprehensive evaluation of a commercial macro Monte Carlo electron dose calculation implementation using a standard verification data set. Med Phys 2006; 33(6): 1540–1551. – reference: 3) Kokubo M, Mitsumori M, Yamamoto C, et al. Impact of boost irradiation with surgically placed radiopaque clips on local control in breast-conserving therapy. Breast Cancer 2001; 8(3): 222–228. – reference: 21) 日本医学物理学会編．外部放射線治療における水吸収線量の標準計測法(標準計測法12)．東京：通商産業研究社，2012. – reference: 17) Ojala J, Kapanen M, Hyödynmaa S. Full Monte Carlo and measurement-based overall performance assessment of improved clinical implementation of eMC algorithm with emphasis on lower energy range. Phys Med 2016; 32(6): 801–811. – reference: 12) Lawrence SL, van Lieshout NHM, Charland PM. Assessment of Eclipse electron Monte Carlo output prediction for various topologies. J Appl Clin Med Phys 2015; 16(3): 99–106. – reference: 7) Ding GX, Duggan DM, Coffey CW, et al. First macro Monte Carlo based commercial dose calculation module for electron beam treatment planning--new issues for clinical consideration. Phys Med Biol 2006; 51(11): 2781–2799. – reference: 22) Kanda Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transplant 2013; 48(3): 452–458. – reference: 1) 日本乳癌学会編．乳癌診療ガイドライン1 治療編2018 年版第4 版．東京：金原出版，2018. |
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| Title | 異なる線量正規化法による電子線モンテカルロ計算と従来の手計算法とのモニタユニット比較 |
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