基于蒙特卡羅算法的腫瘤放射治療計劃系統的研究進展_《華西醫學》

作者：

傅玉川 ¹ , 唐斌 ¹ , 李平 ²

四川大學華西醫院（成都，610041）1 放射物理技術中心;2 頭頸腫瘤科;

關鍵詞：

蒙特卡羅放射治療計劃系統輻射輸運

視頻：

導出 下載 收藏 掃碼 引用

摘要 全文 圖表 視頻 參考文獻 施引文獻 補充材料

【摘要】 蒙特卡羅劑量計算法一直被公認為是最精確的輻射輸運計算工具，因此很早就成為模擬輻射治療粒子輸運的重要方法之一。但真正能應用于腫瘤放射治療臨床工作的基于蒙特卡羅算法的放射治療計劃系統的推出卻經歷了一個漫長的時間過程，目前仍在進一步開發和優化中。現就通用蒙特卡羅應用程序的發展歷史，介紹基于蒙特卡羅算法的放射治療計劃系統的研究基礎;描述放射治療過程中完整的輻射輸運的組成部分；總結此類系統的優勢、研發難點和特有的限制條件；介紹能使蒙特卡羅算法應用于臨床的主要途徑；并指出仍需要努力研究從而充分發揮其潛力的領域。

引用本文： 傅玉川,唐斌,李平. 基于蒙特卡羅算法的腫瘤放射治療計劃系統的研究進展. 華西醫學, 2010, 25(12): 2129-2132. doi: 復制

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2.	Bjarngard B, Kase K, Attix F. The dosimetry of ionizing radiation[M]. New York: Academic, 1990, Ⅲ: 427-539.
3.	殷蔚伯, 谷銑之. 腫瘤放射治療學[M], 北京: 中國協和醫科大學出版社, 2002: 1-2.
4.	Department of Health. Cancer reform strategy[EB/OL]. London: http: //www. dh. gov. uk/publications. 2007.
5.	Verhaegen F, Seuntjens J. Monte Carlo modelling of external radiotherapy photon beams[J]. Phys Med Biol, 2003, 48(21): 107-164.
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12.	Agostinelli S, Allison J, Amako K, et al. GEANT4-a simulation toolkit. Nucl. Instrum[J]. Meth Phys Res, 2003, 506(A): 250-303.
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14.	Khan FM. The physics of radiation therapy[M]. Philadelphia: Lippincott Williams Wilkins, 2003: 59-77.
15.	Kawrakow I, Rogers DWO, BRB. Walters Large efficiency improvements in BEAMnrc using directional bremsstrahlung splitting[J]. Med Phys, 2004, 31(10): 2883-2898.
16.	Kawrakow I. On the efficiency of photon beam treatment head simulations[J]. Med Phys, 2005, 32(7): 2320-2326.
17.	Rogers DWO, Ma C-M, Walters B, et al. BEAMnrc Users Manual[R]. National Research Council Canada, Ottawa: PIRS-0509, 2002.
18.	顧本廣. 醫用加速器[M]. 北京: 科學出版社, 2003: 276-320.
19.	Rogers DW, Faddegon BA, Ding G, et al. BEAM: a Monte Carlo code to simulate radiotherapy treatment[J]. Med Phys, 1995, 22(5): 503-524.
20.	Schach von Wittenau AE, Cox LJ, Bergstrom PM, et al. Correlated histogram representation of Monte Carlo derived medical accelerator photon-output phase space[J]. Med Phys, 1999, 26(7): 1196-1211.
21.	Spezi E. Status of MCTP in Europe[J]. Radiother Oncol, 2007, 84: 6-7.
22.	Papanikolaou N, Battista J, Boyer A, et al. AAPM Report No. 85: Tissue inhomogeneity corrections for megavoltage photon beams[R], Madison, WI: AAPM Report No. 85. 2004.
23.	DeMarco JJ, Solberg TD, Smathers JB. A CT-based Monte Carlo simulation tool for dosimetry planning and analysis[J]. Med Phys, 1998, 25(1): 1-11.
24.	du Plessis FC, Willemse CA, Lotter MG, et al. The indirect use of CT numbers to establish material properties needed for Monte Carlo calculation of dose distributions in patients[J]. Med Phys, 1998, 25(7): 1195-1201.
25.	Wang L, Lovelock M, Chui CS. Experimental verification of a CT-based Monte Carlo dose-calculation method in heterogeneous phantoms[J]. Med Phys, 1999, 26(12): 2626-2634.
26.	Vanderstraeten B, Chin PW, Fix M, et al. Conversion of CT numbers into tissue parameters for Monte Carlo dose calculations: a multi-centre study[J]. Phys Med Biol, 2007, 52(3): 539-562.
27.	Fippel M. Fast Monte Carlo dose calculation for photon beams based on the VMC electron algorithm[J]. Med Phys, 1999, 26(8): 1466-1475.
28.	Verhaegen F, Devic S. Sensitivity study for CT image use in Monte Carlo treatment planning[J]. Phys Med Biol, 2005, 50(5): 937-946.
29.	Bazalova M, Beaulieu L, Palefsky S, et al. Correction of CT artifacts and its influence on Monte Carlo dose calculations[J]. Med Phys, 2007, 34(6): 2119-2132.
30.	Yamamoto T, Mizowaki T, Miyabe Y, et al. An integrated Monte Carlo dosimetric verification system for radiotherapy treatment planning[J]. Phys Med Biol, 2007, 52(7): 1991-2008.
31.	Alexander A, Deblois F, Stroian G, et al. MMCTP: a radiotherapy research environment for Monte Carlo and patientspecific treatment planning[J]. Phys Med Biol, 2007, 52(13): 297-308.
32.	Fix MK, Manser P, Frei D, et al. An efficient framework for photon Monte Carlo treatment planning[J]. Phys Med Biol, 2007, 52(19): 425-437.
33.	Yaikhom G, Giddy JP, Walker DW, et al. A distributed simulation framework for conformal radiotherapy[A]. IEEE Computer Society: Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2008: 2993-3000.
34.	Ma CM, Faddegon BA, Rogers DWO, et al. Accurate characterization of Monte Carlo calculated electron beams for radiotherapy[J]. Med Phys, 1997, 24(3): 401-416.
35.	Yang J, Li JS, Qin L, et al. Modelling of electron contamination in clinical photon beams for Monte Carlo dose calculation[J]. Phys Med Biol, 2004, 49(12): 2657-2673.
36.	Fippel M, Haryanto F, Dohm O, et al. A virtual photon energy fluence model for Monte Carlo dose calculation[J]. Med Phys, 2003, 30(3): 301-311.
37.	Kawrakow I. VMC++ electron and photon Monte Carlo calculations optimized for radiation treatment planning: advanced Monte Carlo for radiation physics, particle transport simulation and applications[A]. Springer, Berlin: Proceedings of the Monte Carlo 2000 Meeting, 2001: 229-236.
38.	Fotina I, Winkler P, Thomas Künzler, et al. Advanced kernel methods vs. Monte Carlo-based dose calculation for high energy photon beams[J]. Radiother Oncol, 2009, 93(3): 645-653.

1. 　Metropolis N. The beginning of the Monte Cavlo Method[J]. Los Alamos Sci, 1987, 15: 125-130.
2. 　Bjarngard B, Kase K, Attix F. The dosimetry of ionizing radiation[M]. New York: Academic, 1990, Ⅲ: 427-539.
3. 　殷蔚伯, 谷銑之. 腫瘤放射治療學[M], 北京: 中國協和醫科大學出版社, 2002: 1-2.
4. 　Department of Health. Cancer reform strategy[EB/OL]. London: http: //www. dh. gov. uk/publications. 2007.
5. 　Verhaegen F, Seuntjens J. Monte Carlo modelling of external radiotherapy photon beams[J]. Phys Med Biol, 2003, 48(21): 107-164.
6. 　Chetty IJ, Curran B, Cygler JE, et al. Report of the AAPM Task Group No. 105: issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning[J]. Med Phys, 2007, 34(12): 4818-4853.
7. 　Spezi E, Lewis G. An overview of monte carlo treatment planning for radiotherapy[J]. Radiat Prot Dosimetry, 2008, 131(1): 123-129.
8. 　Fasso A, Ferrari A, Ranft J, et al. Fluka: a multi-particle transport code[R]. Stanford University, Stanford: SLAC-R-773, 2005.
9. 　Brown FB. MCNP-a general Monte Carlo-particle transport code[R]. Version 5. Los Alamos National Laboratory, Los Alamos: Report LA-UR-03, 2003.
10. 　Kawrakow I, Rogers DWO. The EGSnrc code system: Monte Carlo simulation of electron and photon transport[R]. National Research Council of Canada, Ottawa: Technical Report PIRS-701, 2000.
11. 　Baro J, Sempau J, Fernandez-Varea JM, et al. PENELOPE-an algorithm for Monte-Carlo simulation of the penetration and energy-loss ofelectrons and positrons in matter[J]. Nucl Instrum Meth Phys Res, 1995, 100(A): 31-46.
12. 　Agostinelli S, Allison J, Amako K, et al. GEANT4-a simulation toolkit. Nucl. Instrum[J]. Meth Phys Res, 2003, 506(A): 250-303.
13. 　Halbleib JA, Kensek RP, Mehlhorn TA, et al. ITS Version 3. 0: the Integrated TIGER Series of coupled Electron/Photon Monte Carlo Transport Codes Report[R]. Albuquerque, NM, Sandia National Laboratories: SAND91-1634, 1992.
14. 　Khan FM. The physics of radiation therapy[M]. Philadelphia: Lippincott Williams Wilkins, 2003: 59-77.
15. 　Kawrakow I, Rogers DWO, BRB. Walters Large efficiency improvements in BEAMnrc using directional bremsstrahlung splitting[J]. Med Phys, 2004, 31(10): 2883-2898.
16. 　Kawrakow I. On the efficiency of photon beam treatment head simulations[J]. Med Phys, 2005, 32(7): 2320-2326.
17. 　Rogers DWO, Ma C-M, Walters B, et al. BEAMnrc Users Manual[R]. National Research Council Canada, Ottawa: PIRS-0509, 2002.
18. 　顧本廣. 醫用加速器[M]. 北京: 科學出版社, 2003: 276-320.
19. 　Rogers DW, Faddegon BA, Ding G, et al. BEAM: a Monte Carlo code to simulate radiotherapy treatment[J]. Med Phys, 1995, 22(5): 503-524.
20. 　Schach von Wittenau AE, Cox LJ, Bergstrom PM, et al. Correlated histogram representation of Monte Carlo derived medical accelerator photon-output phase space[J]. Med Phys, 1999, 26(7): 1196-1211.
21. 　Spezi E. Status of MCTP in Europe[J]. Radiother Oncol, 2007, 84: 6-7.
22. 　Papanikolaou N, Battista J, Boyer A, et al. AAPM Report No. 85: Tissue inhomogeneity corrections for megavoltage photon beams[R], Madison, WI: AAPM Report No. 85. 2004.
23. 　DeMarco JJ, Solberg TD, Smathers JB. A CT-based Monte Carlo simulation tool for dosimetry planning and analysis[J]. Med Phys, 1998, 25(1): 1-11.
24. 　du Plessis FC, Willemse CA, Lotter MG, et al. The indirect use of CT numbers to establish material properties needed for Monte Carlo calculation of dose distributions in patients[J]. Med Phys, 1998, 25(7): 1195-1201.
25. 　Wang L, Lovelock M, Chui CS. Experimental verification of a CT-based Monte Carlo dose-calculation method in heterogeneous phantoms[J]. Med Phys, 1999, 26(12): 2626-2634.
26. 　Vanderstraeten B, Chin PW, Fix M, et al. Conversion of CT numbers into tissue parameters for Monte Carlo dose calculations: a multi-centre study[J]. Phys Med Biol, 2007, 52(3): 539-562.
27. 　Fippel M. Fast Monte Carlo dose calculation for photon beams based on the VMC electron algorithm[J]. Med Phys, 1999, 26(8): 1466-1475.
28. 　Verhaegen F, Devic S. Sensitivity study for CT image use in Monte Carlo treatment planning[J]. Phys Med Biol, 2005, 50(5): 937-946.
29. 　Bazalova M, Beaulieu L, Palefsky S, et al. Correction of CT artifacts and its influence on Monte Carlo dose calculations[J]. Med Phys, 2007, 34(6): 2119-2132.
30. 　Yamamoto T, Mizowaki T, Miyabe Y, et al. An integrated Monte Carlo dosimetric verification system for radiotherapy treatment planning[J]. Phys Med Biol, 2007, 52(7): 1991-2008.
31. 　Alexander A, Deblois F, Stroian G, et al. MMCTP: a radiotherapy research environment for Monte Carlo and patientspecific treatment planning[J]. Phys Med Biol, 2007, 52(13): 297-308.
32. 　Fix MK, Manser P, Frei D, et al. An efficient framework for photon Monte Carlo treatment planning[J]. Phys Med Biol, 2007, 52(19): 425-437.
33. 　Yaikhom G, Giddy JP, Walker DW, et al. A distributed simulation framework for conformal radiotherapy[A]. IEEE Computer Society: Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2008: 2993-3000.
34. 　Ma CM, Faddegon BA, Rogers DWO, et al. Accurate characterization of Monte Carlo calculated electron beams for radiotherapy[J]. Med Phys, 1997, 24(3): 401-416.
35. 　Yang J, Li JS, Qin L, et al. Modelling of electron contamination in clinical photon beams for Monte Carlo dose calculation[J]. Phys Med Biol, 2004, 49(12): 2657-2673.
36. 　Fippel M, Haryanto F, Dohm O, et al. A virtual photon energy fluence model for Monte Carlo dose calculation[J]. Med Phys, 2003, 30(3): 301-311.
37. 　Kawrakow I. VMC++ electron and photon Monte Carlo calculations optimized for radiation treatment planning: advanced Monte Carlo for radiation physics, particle transport simulation and applications[A]. Springer, Berlin: Proceedings of the Monte Carlo 2000 Meeting, 2001: 229-236.
38. 　Fotina I, Winkler P, Thomas Künzler, et al. Advanced kernel methods vs. Monte Carlo-based dose calculation for high energy photon beams[J]. Radiother Oncol, 2009, 93(3): 645-653.

《華西醫學》

基于蒙特卡羅算法的腫瘤放射治療計劃系統的研究進展

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《華西醫學》

基于蒙特卡羅算法的腫瘤放射治療計劃系統的研究進展

摘要 全文 圖表 視頻 參考文獻 施引文獻 補充材料

Format

Content

摘要全文圖表視頻參考文獻施引文獻補充材料