A comparison between anisotropic analytical and multigrid superposition dose calculation algorithms in radiotherapy treatment planning

被引:10
作者
Wu, Vincent W. C. [1 ]
Tse, Teddy K. H. [1 ]
Ho, Cola L. M. [1 ]
Yeung, Eric C. Y. [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Hlth Technol & Informat, Kowloon, Hong Kong, Peoples R China
关键词
Dose calculation algorithm; Anisotropic analytical algorithm (AAA); Multigrid superposition (MGS) algorithm; Radiotherapy treatment planning; DOSIMETRIC VERIFICATION; CALCULATION TOOL; HETEROGENEITIES; CONVOLUTION; VALIDATION; PHANTOM;
D O I
10.1016/j.meddos.2013.02.001
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Monte Carlo (MC) simulation is currently the most accurate dose calculation algorithm in radiotherapy planning but requires relatively long processing time. Faster model-based algorithms such as the anisotropic analytical algorithm (AAA) by the Eclipse treatment planning system and multigrid superposition (MGS) by the XiO treatment planning system are 2 commonly used algorithms. This study compared AAA and MGS against MC, as the gold standard, on brain, nasopharynx, lung, and prostate cancer patients. Computed tomography of 6 patients of each cancer type was used. The same hypothetical treatment plan using the same machine and treatment prescription was computed for each case by each planning system using their respective dose calculation algorithm. The doses at reference points including (1) soft tissues only, (2) bones only, (3) air cavities only, (4) soft tissue-bone boundary (Soft/Bone), (5) soft tissue-air boundary (Soft/Air), and (6) bone-air boundary (Bone/Air), were measured and compared using the mean absolute percentage error (MAPE), which was a function of the percentage dose deviations from MC. Besides, the computation time of each treatment plan was recorded and compared. The MAPEs of MGS were significantly lower than AAA in all types of cancers (p < 0.001). With regards to body density combinations, the MAPE of AAA ranged from 1.8% (soft tissue) to 4.9% (Bone/Air), whereas that of MGS from 1.6% (air cavities) to 2.9% (Soft/Bone). The MAPEs of MGS (2.6% +/- 2.1) were significantly lower than that of AAA (3.7% +/- 2.5) in all tissue density combinations (p < 0.001). The mean computation time of AAA for all treatment plans was significantly lower than that of the MGS (p < 0.001). Both AAA and MGS algorithms demonstrated dose deviations of less than 4.0% in most clinical cases and their performance was better in homogeneous tissues than at tissue boundaries. In general, MGS demonstrated relatively smaller dose deviations than AAA but required longer computation time. (C) 2013 American Association of Medical Dosimetrists.
引用
收藏
页码:209 / 214
页数:6
相关论文
共 25 条
  • [1] [Anonymous], 2003, ED REP SER IAEA
  • [2] Clinical implications of the anisotropic analytical algorithm for IMRT treatment planning and verification
    Bragg, Christopher M.
    Wingate, Katrina
    Conway, John
    [J]. RADIOTHERAPY AND ONCOLOGY, 2008, 86 (02) : 276 - 284
  • [3] Dosimetric verification of the anisotropic analytical algorithm for radiotherapy treatment planning
    Bragg, Christopher M.
    Conway, John
    [J]. RADIOTHERAPY AND ONCOLOGY, 2006, 81 (03) : 315 - 323
  • [4] Butts J R, 2001, J Appl Clin Med Phys, V2, P32, DOI 10.1120/1.1336496
  • [5] Demarco J J, 2002, Med Dosim, V27, P43, DOI 10.1016/S0958-3947(02)00087-0
  • [6] Investigation of photon beam models in heterogeneous media of modern radiotherapy
    Ding W.
    Johnston P.N.
    Wong T.P.Y.
    Bubb I.F.
    [J]. Australasian Physics & Engineering Sciences in Medicine, 2004, 27 (2): : 39 - 48
  • [7] Dosimetric validation of the anisotropic analytical algorithm for photon dose calculation: fundamental characterization in water
    Fogliata, A
    Nicolini, G
    Vanetti, E
    Clivio, A
    Cozzi, L
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2006, 51 (06) : 1421 - 1438
  • [8] On the dosimetric behaviour of photon dose calculation algorithms in the presence of simple geometric heterogeneities:: comparison with Monte Carlo calculations
    Fogliata, Antonella
    Vanetti, Eugenio
    Albers, Dirk
    Brink, Carsten
    Clivio, Alessandro
    Knoos, Tommy
    Nicolini, Giorgia
    Cozzi, Luca
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2007, 52 (05) : 1363 - 1385
  • [9] Evaluation of the analytical anisotropic algorithm in an extreme water-lung interface phantom using Monte Carlo dose calculations
    Gagne, Isabelle Marie
    Zavgorodni, Sergei
    [J]. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2007, 8 (01): : 33 - 46
  • [10] Dosimetric verification of radiotherapy treatment planning systems: Results of IAEA pilot study
    Gershkevitsh, Eduard
    Schmidt, Rainer
    Velez, Graciela
    Miller, Dan
    Korf, Erhardt
    Yip, Fernando
    Wanwilairat, Somsak
    Vatnitsky, Stanislav
    [J]. RADIOTHERAPY AND ONCOLOGY, 2008, 89 (03) : 338 - 346