Evaluation of the dose calculation accuracy for small fields defined by jaw or MLC for AAA and Acuros XB algorithms.

PURPOSE Small field measurements are challenging, due to the physical characteristics coming from the lack of charged particle equilibrium, the partial occlusion of the finite radiation source, and to the detector response. These characteristics can be modeled in the dose calculations in the treatment planning systems. Aim of the present work is to evaluate the MU calculation accuracy for small fields, defined by jaw or MLC, for anisotropic analytical algorithm (AAA) and Acuros XB algorithms, relative to output measurements on the beam central axis. METHODS Single point output factor measurement was acquired with a PTW microDiamond detector for 6 MV, 6 and 10 MV unflattened beams generated by a Varian TrueBeam STx equipped with high definition-MLC. Fields defined by jaw or MLC apertures were set; jaw-defined: 0.6 × 0.6, 0.8 × 0.8, 1 × 1, 2 × 2, 3 × 3, 4 × 4, 5 × 5, and 10 × 10 cm2; MLC-defined: 0.5 × 0.5 cm2 to the maximum field defined by the jaw, with 0.5 cm stepping, and jaws set to: 2 × 2, 3 × 3, 4 × 4, 5 × 5, and 10 × 10 cm2. MU calculation was obtained with 1 mm grid in a virtual water phantom for the same fields, for AAA and Acuros algorithms implemented in the Varian eclipse treatment planning system (version 13.6). Configuration parameters as the effective spot size (ESS) and the dosimetric leaf gap (DLG) were varied to find the best parameter setting. Differences between calculated and measured doses were analyzed. RESULTS Agreement better than 0.5% was found for field sizes equal to or larger than 2 × 2 cm2 for both algorithms. A dose overestimation was present for smaller jaw-defined fields, with the best agreement, averaged over all the energies, of 1.6% and 4.6% for a 1 × 1 cm2 field calculated by AAA and Acuros, respectively, for a configuration with ESS = 1 mm for both X and Y directions for AAA, and ESS = 1.5 and 0 mm for X and Y directions for Acuros. Conversely, a calculated dose underestimation was found for small MLC-defined fields, with the best agreement averaged over all the energies, of -3.9% and 0.2% for a 1 × 1 cm2 field calculated by AAA and Acuros, respectively, for a configuration with ESS = 0 mm for both directions and both algorithms. CONCLUSIONS For optimal setting applied in the algorithm configuration phase, the agreement of Acuros calculations with measurements could achieve the 3% for MLC-defined fields as small as 0.5 × 0.5 cm2. Similar agreement was found for AAA for fields as small as 1 × 1 cm2.

[1]  Luca Cozzi,et al.  Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situations , 2006, Physics in medicine and biology.

[2]  Otto A Sauer,et al.  Measurement of output factors for small photon beams. , 2007, Medical physics.

[3]  J. Alakuijala,et al.  Determination of parameters for a multiple-source model of megavoltage photon beams using optimization methods , 2007, Physics in medicine and biology.

[4]  I. Das,et al.  Small fields: nonequilibrium radiation dosimetry. , 2007, Medical physics.

[5]  J. Seuntjens,et al.  A new formalism for reference dosimetry of small and nonstandard fields. , 2008, Medical physics.

[6]  John D Fenwick,et al.  Using a Monte Carlo model to predict dosimetric properties of small radiotherapy photon fields. , 2008, Medical physics.

[7]  John D Fenwick,et al.  Monte Carlo modeling of small photon fields: Quantifying the impact of focal spot size on source occlusion and output factors, and exploring miniphantom design for small-field measurements. , 2009, Medical physics.

[8]  D I Thwaites,et al.  Implementing a newly proposed Monte Carlo based small field dosimetry formalism for a comprehensive set of diode detectors. , 2011, Medical physics.

[9]  P. Mancosu,et al.  Dosimetric validation of the Acuros XB Advanced Dose Calculation algorithm: fundamental characterization in water , 2011, Physics in medicine and biology.

[10]  Luca Cozzi,et al.  Dosimetric evaluation of Acuros XB Advanced Dose Calculation algorithm in heterogeneous media , 2011, Radiation oncology.

[11]  L. Cozzi,et al.  Accuracy of Acuros XB and AAA dose calculation for small fields with reference to RapidArc(®) stereotactic treatments. , 2011, Medical physics.

[12]  K. Bush,et al.  Dosimetric validation of Acuros XB with Monte Carlo methods for photon dose calculations. , 2011, Medical physics.

[13]  Firas Mourtada,et al.  Dosimetric comparison of Acuros XB deterministic radiation transport method with Monte Carlo and model-based convolution methods in heterogeneous media. , 2011, Medical physics.

[14]  S Cora,et al.  Calculation of k(Q(clin),Q(msr) ) (f(clin),f(msr) ) for several small detectors and for two linear accelerators using Monte Carlo simulations. , 2011, Medical physics.

[15]  Marco Marinelli,et al.  Dosimetric characterization of a synthetic single crystal diamond detector in clinical radiation therapy small photon beams. , 2012, Medical physics.

[16]  Niko Papanikolaou,et al.  Accuracy of the Small Field Dosimetry Using the Acuros XB Dose Calculation Algorithm within and beyond Heterogeneous Media for 6 MV Photon Beams , 2012 .

[17]  Maria Pimpinella,et al.  Comparison of Dw measurements by alanine and synthetic diamond dosimeters in photon beams with 1 cm × 1 cm field size , 2012 .

[18]  T Kron,et al.  Small field segments surrounded by large areas only shielded by a multileaf collimator: comparison of experiments and dose calculation. , 2012, Medical physics.

[19]  Peter K N Yu,et al.  Verification and dosimetric impact of Acuros XB algorithm on intensity modulated stereotactic radiotherapy for locally persistent nasopharyngeal carcinoma. , 2012, Medical physics.

[20]  M A Hill,et al.  Mass-density compensation can improve the performance of a range of different detectors under non-equilibrium conditions , 2013, Physics in medicine and biology.

[21]  S. Rana,et al.  Dosimetric evaluation of Acuros XB dose calculation algorithm with measurements in predicting doses beyond different air gap thickness for smaller and larger field sizes , 2013, Journal of medical physics.

[22]  Hugo Palmans,et al.  Detector comparison for small field output factor measurements in flattening filter free photon beams. , 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[23]  M. Marinelli,et al.  A synthetic diamond diode in volumetric modulated arc therapy dosimetry. , 2013, Medical physics.

[24]  G. Prestopino,et al.  Characterization of a synthetic single crystal diamond Schottky diode for radiotherapy electron beam dosimetry. , 2013, Medical physics.

[25]  Josep Sempau,et al.  Output correction factors for nine small field detectors in 6 MV radiation therapy photon beams: a PENELOPE Monte Carlo study. , 2014, Medical physics.

[26]  P. Francescon,et al.  TU-F-BRE-05: Experimental Determination of K Factor in Small Field Dosimetry. , 2014, Medical physics.

[27]  Natalka Suchowerska,et al.  Over-response of synthetic microDiamond detectors in small radiation fields , 2014, Physics in medicine and biology.

[28]  S. Pokharel,et al.  Evaluation of Acuros XB algorithm based on RTOG 0813 dosimetric criteria for SBRT lung treatment with RapidArc , 2014, Journal of applied clinical medical physics.

[29]  M. Pitkänen,et al.  Performance of dose calculation algorithms from three generations in lung SBRT: comparison with full Monte Carlo‐based dose distributions , 2014, Journal of applied clinical medical physics.

[30]  Hong-wei Liu,et al.  Effect of Acuros XB algorithm on monitor units for stereotactic body radiotherapy planning of lung cancer. , 2014, Medical dosimetry : official journal of the American Association of Medical Dosimetrists.

[31]  L. Dewerd,et al.  TU-F-BRE-06: Flattening-Filter-Free Beam Quality Correction Factor Determination Using Experimental and Monte Carlo Methods. , 2014, Medical physics.

[32]  L. Shields,et al.  Heterogeneity correction for intensity-modulated frameless SRS in pituitary and cavernous sinus tumors: a retrospective study , 2015, Radiation oncology.

[33]  Steve B. Jiang,et al.  Dosimetric comparison of Acuros XB with collapsed cone convolution/superposition and anisotropic analytic algorithm for stereotactic ablative radiotherapy of thoracic spinal metastases , 2015, Journal of applied clinical medical physics.

[34]  J. Lárraga-Gutiérrez,et al.  Properties of a commercial PTW-60019 synthetic diamond detector for the dosimetry of small radiotherapy beams , 2015, Physics in medicine and biology.

[35]  S. Zavgorodni,et al.  Comparative evaluation of modern dosimetry techniques near low‐ and high‐density heterogeneities , 2015, Journal of applied clinical medical physics.

[36]  E Ishmael Parsai,et al.  Correction factor measurements for multiple detectors used in small field dosimetry on the Varian Edge radiosurgery system. , 2015, Medical physics.

[37]  B McClean,et al.  Small field detector correction factors kQclin,Qmsr (fclin,fmsr) for silicon-diode and diamond detectors with circular 6 MV fields derived using both empirical and numerical methods. , 2015, Medical physics.

[38]  Hugo Palmans,et al.  On the Monte Carlo simulation of small-field micro-diamond detectors for megavoltage photon dosimetry. , 2016, Physics in medicine and biology.