A Monte Carlo model for independent dose verification in IMRT and VMAT for the Varian Novalis TX with high definition MLC

Luis Vazquez Quino, Claudia Huerta Hernandez, Nikos Papanikolaou, Alonso Gutierrez, Carlos Esquivel, Tony Eng, Marian Manciu, Sotirios Stathakis

Abstract


Purpose: With intensity modulated radiation therapy (IMRT), the physician can prescribe, design and deliver optimized treatment plans that target the tumor and spare adjacent critical structures. The increased conformity of such plans often comes at the expenses of adding significant complexity to the delivery of the treatment. With volumetrically modulated arc therapy (VMAT), in addition to the modulation of the intensity of the radiation beam, other mechanical parameters such as gantry speed and dose rate are varied during treatment delivery. It is therefore imperative that we develop comprehensive and accurate methods to validate such complex delivery techniques prior to the commencement of the patient’s treatment.

Methods: In this study, a Monte Carlo simulation was performed for the high definition multileaf collimator (HD-MLC) of a Varian Novalis TX linac. Our simulation is based on the MCSIM code and provides a comprehensive model of the linac head. After validating the model in reference geometries, treatment plans for different anatomical sites were simulated and compared against the treatment planning system (TPS) dose calculations. All simulations were performed in a cylindrical water phantom as opposed to the patient anatomy, to remove any complexities associated with density effects. Finally, a comparison through gamma analysis of dose plane between the simulation, the TPS and the measurements from the Matrixx array (IBA) was conducted to verify the accuracy of our model against both the measurements and the TPS.

Results: Gamma analysis of ten IMRT and ten VMAT cases for different anatomical sites was performed, using a 3%/3 mm passing criterion. The average passing rates were 97.5% and 94.3% for the IMRT and the VMAT plans respectively when comparing the MCSIM and TPS dose calculations.

Conclusion: In the present work a Monte Carlo model of a Novalis TX linac which has been tested and benchmarked to produce phase-space files for the treatment head of the linac was used to produce a input phase-space to calculated dose deposition phenomena in different geometries for IMRT and VMAT treatment modalities. The control points defined for the MLC were replaced by blocks with the same characteristics and materials of the linac MLC to speed up the simulation time. With this technique a simulation of a typical IMRT case can be performed with a 10 computer cluster in about 1.02 hours in average. If the number of computer used is increased the computing time can be reduced even more which make our model suitable for clinical use as a second check method to compare the TPS dose calculated. Our results showed that for IMRT and VMAT deliveries with a HD-MLC, there is an average of 95.9% of the points have a gamma index less than 1 with our chosen criterion between our Monte Carlo simulations and the corresponding measurements and TPS calculations in a cylindrical water equivalent phantom. This Monte Carlo code can be used as pre-treatment, independent dose calculation verification for IMRT and VMAT deliveries.


Keywords


Monte Carlo simulations; BEAMnrc; MCSIM; Novalis TX; HD-MLC

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References


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. Med Phys. 2007; 34:4818-53.

Kawrakow I, Walters BR. Efficient photon beam dose calculations using DOSXYZnrc with BEAMnrc. Med Phys. 2006;33:3046-56.

Verhaegen F, Seuntjens J. Monte Carlo modelling of external radiotherapy photon beams. Phys Med Biol. 2003; 48:R107-64.

Ma CM, Jiang SB. Monte Carlo modelling of electron beams from medical accelerators. Phys Med Biol. 1999; 44:R157-89.

Rogers DW, Walters B, Kawrakow. BEAMnrc User Manual. NRCC Reports PIRS-0509(A)revK, Ionizing Radiation Standards National Research Council of Canada, Ottawa, 2011.

Walters B, Kawrakow I, Rogers DW. DOSXYZnrc Manual. NRCC reports PIRS-794revB. Ionizing Radiation Standards National Research Council of Canada, Ottawa, 2009.

Rogers DW, Mohan R. Questions for comparison of clinical Monte Carlo codes. The Use of Computers in Radiotherapy, XIIIth ICCR, Springer-Verlag, Heidelberg, 2000.

Sempau J, Sánchez-Reyes A, Salvat F, et al. Monte Carlo simulation of electron beams from an accelerator head using PENELOPE. Phys Med Biol. 2001;46:1163-86.

Boyer A, Biggs P, Galvin J, et al. Basic applications of miltileaf collimators: AAPM Report No 72. Report of task group No. 50, Radiation Therapy Committee, American Association of Physicists in Medicine by Medical Physics Publishing, 2001.

Sheikh-Bagheri D, Rogers DW, Ross CK, Seuntjens JP. Comparison of measured and Monte Carlo calculated dose distributions from the NRC linac. Med Phys. 2000;27:2256-66.

Rogers DW, Faddegon BA, Ding GX, et al. BEAM: a Monte Carlo code to simulate radiotherapy treatment units. Med Phys. 1995 May;22:503-24.

Mora GM, Maio A, Rogers DW. Monte Carlo simulation of a typical 60Co therapy source. Med Phys. 1999; 26:2494-502.

Kawrakow I. On the efficiency of photon beam treatment head simulations. Med Phys. 2005;32:2320-6.

Kawrakow I. On the de-noising of Monte Carlo calculated dose distributions. Phys Med Biol. 2002;47:3087-103.

Kry SF, Titt U, Pönisch F, et al. A Monte Carlo model for calculating out-of-field dose from a varian 6 MV beam. Med Phys. 2006;33:4405-13.

Hasenbalg F, Fix MK, Born EJ, et al. VMC++ versus BEAMnrc: a comparison of simulated linear accelerator heads for photon beams. Med Phys. 2008;35:1521-31.

Faddegon BA, Asai M, Perl J, et al. Benchmarking of Monte Carlo simulation of bremsstrahlung from thick targets at radiotherapy energies. Med Phys. 2008;35:4308-17.

Fragoso M, Kawrakow I, Faddegon BA, et al. Fast, accurate photon beam accelerator modeling using BEAMnrc: a systematic investigation of efficiency enhancing methods and cross-section data. Med Phys. 2009;36:5451-66.

Vazquez-Quino LA. SU-GG-T-426: Feasibility of An Independent Dose Calculation for VMAT with Monte Carlo. Med Phys. 2010; 37:3284.

Vazquez Quino LA, Stathakis S, Gutierrez A, et al. Novalis TX Monte Carlo Based Linear Accelerator. 52nd AAPM Annual Meeting, Jul 18, 18-22, Philadelphia, PA, 2010.

Borges C, Zarza-Moreno M, Heath E, et al. Monte Carlo modeling and simulations of the High Definition (HD120) micro MLC and validation against measurements for a 6 MV beam. Med Phys. 2012;39:415-23.

Fix MK, Volken W, Frei D, et al. Monte Carlo implementation, validation, and characterization of a 120 leaf MLC. Med Phys. 2011;38:5311-20.

Vazquez-Quino LA, Massingill B, Shi C, et al. Monte Carlo modeling of a Novalis Tx Varian 6 MV with HD-120 multileaf collimator. J Appl Clin Med Phys. 2012;13:3960.

Tyagi N, Curran B H, Roberson PL, et al. Experimental verification of a Monte Carlo-based MLC simulation model for IMRT dose calculations in heterogeneous media. Journal of Physics: Conference Series. 2008;102:012025.

Mohan R, Arnfield M, Tong S, et al. The impact of fluctuations in intensity patterns on the number of monitor units and the quality and accuracy of intensity modulated radiotherapy. Med Phys. 2000;27:1226-37.




DOI: http://dx.doi.org/10.14319/ijcto.33.12

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