Report of the AAPM Task Group No. 105: Issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning

被引:515
作者
Chetty, Indrin J. [1 ,2 ]
Curran, Bruce [1 ]
Cygler, Joanna E. [3 ]
DeMarco, John J. [4 ]
Ezzell, Gary [5 ]
Faddegon, Bruce A. [6 ]
Kawrakow, Iwan [7 ]
Keall, Paul J. [8 ]
Liu, Helen [9 ]
Ma, C. -M. Charlie [10 ]
Rogers, D. W. O. [11 ]
Seuntjens, Jan [12 ]
Sheikh-Bagheri, Daryoush [13 ]
Siebers, Jeffrey V. [14 ]
机构
[1] Univ Michigan, Ann Arbor, MI 48109 USA
[2] Univ Nebraska, Med Ctr, Omaha, NE 68198 USA
[3] Ottawa Hosp, Reg Canc Ctr, Ottawa, ON K1H 1C4, Canada
[4] Univ Calif Los Angeles, Los Angeles, CA 90095 USA
[5] Mayo Clin Scottsdale, Scottsdale, AZ 85259 USA
[6] Univ Calif San Francisco, San Francisco, CA 94143 USA
[7] Natl Res Council Canada, Ottawa, ON K1A 0R6, Canada
[8] Stanford Univ, Ctr Canc, Stanford, CA 94305 USA
[9] Univ Texas Houston, MD Anderson Canc Ctr, Houston, TX 77030 USA
[10] Fox Chase Canc Ctr, Philadelphia, PA 19111 USA
[11] Carleton Univ, Ottawa, ON K1S 5B6, Canada
[12] McGill Univ, Montreal, PQ H3G 1A4, Canada
[13] Reg Canc Ctr, Erie, PA 16505 USA
[14] Virginia Commonwealth Univ, Richmond, VA 23298 USA
关键词
Monte Carlo dose calculation; clinical treatment planning; experimental verification;
D O I
10.1118/1.2795842
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The Monte Carlo (MC) method has been shown through many research studies to calculate accurate dose distributions for clinical radiotherapy, particularly in heterogeneous patient tissues where the effects of electron transport cannot be accurately handled with conventional, deterministic dose algorithms. Despite its proven accuracy and the potential for improved dose distributions to influence treatment outcomes, the long calculation times previously associated with MC simulation rendered this method impractical for routine clinical treatment planning. However, the development of faster codes optimized for radiotherapy calculations and improvements in computer processor technology have substantially reduced calculation times to, in some instances, within minutes on a single processor. These advances have motivated several major treatment planning system vendors to embark upon the path of MC techniques. Several commercial vendors have already released or are currently in the process of releasing MC algorithms for photon and/or electron beam treatment planning. Consequently, the accessibility and use of MC treatment planning algorithms may well become widespread in the radiotherapy community. With MC simulation, dose is computed stochastically using first principles; this method is therefore quite different from conventional dose algorithms. Issues such as statistical uncertainties, the use of variance reduction techniques, theability to account for geometric details in the accelerator treatment head simulation, and other features, are all unique components of a MC treatment planning algorithm. Successful implementation by the clinical physicist of such a system will require an understanding of the basic principles of MC techniques. The purpose of this report, while providing education and review on the use of MC simulation in radiotherapy planning, is to set out, for both users and developers, the salient issues associated with clinical implementation and experimental verification of MC dose algorithms. As the MC method is an emerging technology, this report is not meant to be prescriptive. Rather, it is intended as a preliminary report to review the tenets of the MC method and to provide the framework upon which to build a comprehensive program for commissioning and routine quality assurance of MC-based treatment planning systems. (c) 2007 American Association of Physicists in Medicine.
引用
收藏
页码:4818 / 4853
页数:36
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