Collapsed cone convolution and analytical anisotropic algorithm dose calculations compared to VMC++ Monte Carlo simulations in clinical cases.
The purpose of this work was to study and quantify the differences in dose distributions computed with some of the newest dose calculation algorithms available in commercial planning systems. The study was done for clinical cases originally calculated with pencil beam convolution (PBC) where large density inhomogeneities were present. Three other dose algorithms were used: a pencil beam like algorithm, the anisotropic analytic algorithm (AAA), a convolution superposition algorithm, collapsed cone convolution (CCC), and a Monte Carlo program, voxel Monte Carlo (VMC++). The dose calculation algorithms were compared under static field irradiations at 6 MV and 15 MV using multileaf collimators and hard wedges where necessary. Five clinical cases were studied: three lung and two breast cases. We found that, in terms of accuracy, the CCC algorithm performed better overall than AAA compared to VMC++, but AAA remains an attractive option for routine use in the clinic due to its short computation times. Dose differences between the different algorithms and VMC++ for the median value of the planning target volume (PTV) were typically 0.4% (range: 0.0 to 1.4%) in the lung and -1.3% (range: -2.1 to -0.6%) in the breast for the few cases we analysed. As expected, PTV coverage and dose homogeneity turned out to be more critical in the lung than in the breast cases with respect to the accuracy of the dose calculation. This was observed in the dose volume histograms obtained from the Monte Carlo simulations.
Division of Medical Radiation Physics, Insel Hospital, University of Berne, Switzerland. hasenbalg@ams.unibe.ch
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D000465:Algorithms; D016880:Anisotropy; D001943:Breast Neoplasms / Q000473:pathology / Q000532:radiotherapy; D003198:Computer Simulation; D004307:Dose-Response Relationship, Radiation; D008175:Lung Neoplasms / Q000473:pathology / Q000532:radiotherapy; D015233:Models, Statistical; D009010:Monte Carlo Method; D011381:Programming Languages; D011874:Radiometry / Q000379:methods; D011880:Radiotherapy Planning, Computer-Assisted; D020266:Radiotherapy, Conformal; D012984:Software