Pinnacle3 modeling and end‐to‐end dosimetric testing of a Versa HD linear accelerator with the Agility head and flattening filter‐free modes

The Elekta Versa HD incorporates a variety of upgrades to the line of Elekta linear accelerators, primarily including the Agility head and flattening filter‐free (FFF) photon beam delivery. The completely distinct dosimetric output of the head from its predecessors, combined with the FFF beams, requires a new investigation of modeling in treatment planning systems. A model was created in Pinnacle3 v9.8 with the commissioned beam data. A phantom consisting of several plastic water and Styrofoam slabs was scanned and imported into Pinnacle3, where beams of different field sizes, source‐to‐surface distances (SSDs), wedges, and gantry angles were devised. Beams included all of the available photon energies (6, 10, 18, 6 FFF, and 10 FFF MV), as well as the four electron energies commissioned for clinical use (6, 9, 12, and 15 MeV). The plans were verified at calculation points by measurement with a calibrated ionization chamber. Homogeneous and heterogeneous point‐dose measurements agreed within 2% relative to maximum dose for all photon and electron beams. AP photon open field measurements along the central axis at 100 cm SSD passed within 1%. In addition, IMRT testing was also performed with three standard plans (step and shoot IMRT, as well as a small‐ and large‐field VMAT plan). The IMRT plans were delivered on the Delta4 IMRT QA phantom, for which a gamma passing rate was >99.5% for all plans with a 3% dose deviation, 3 mm distance‐to‐agreement, and 10% dose threshold. The IMRT QA results for the first 23 patients yielded gamma passing rates of 97.4%±2.3%. Such testing ensures confidence in the ability of Pinnacle3 to model photon and electron beams with the Agility head. PACS numbers: 87.55.D, 87.56.bd

[1]  Niko Papanikolaou,et al.  Flattening filter‐free accelerators: a report from the AAPM Therapy Emerging Technology Assessment Work Group , 2015, Journal of applied clinical medical physics.

[2]  H. L. Riis,et al.  Plan quality and delivery accuracy of flattening filter free beam for SBRT lung treatments , 2015, Acta oncologica.

[3]  J. Dai,et al.  A dosimetric evaluation of flattening filter-free volumetric modulated arc therapy in nasopharyngeal carcinoma , 2014, Journal of medical physics.

[4]  D. Thwaites,et al.  A dosimetric characterization of a novel linear accelerator collimator. , 2014, Medical physics.

[5]  Timothy D. Solberg,et al.  Commissioning and verification of the collapsed cone convolution superposition algorithm for SBRT delivery using flattening filter‐free beams , 2014, Journal of applied clinical medical physics.

[6]  Frederik Wenz,et al.  Intensity modulated radiosurgery of brain metastases with flattening filter-free beams. , 2013, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[7]  James L. Bedford,et al.  Beam modeling and VMAT performance with the Agility 160‐leaf multileaf collimator , 2013, Journal of applied clinical medical physics.

[8]  Dietmar Georg,et al.  Radiation therapy with unflattened photon beams: dosimetric accuracy of advanced dose calculation algorithms. , 2011, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[9]  Jan Hrbacek,et al.  Commissioning of photon beams of a flattening filter-free linear accelerator and the accuracy of beam modeling using an anisotropic analytical algorithm. , 2011, International journal of radiation oncology, biology, physics.

[10]  Tae-Suk Suh,et al.  Multisource modeling of flattening filter free (FFF) beam and the optimization of model parameters. , 2011, Medical physics.

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

[12]  Tommy Knöös,et al.  Current status and future perspective of flattening filter free photon beams. , 2011, Medical physics.

[13]  Elinore Wieslander,et al.  A Monte Carlo study of a flattening filter-free linear accelerator verified with measurements , 2010, Physics in medicine and biology.

[14]  Niko Papanikolaou,et al.  Treatment planning and delivery of IMRT using 6 and 18MV photon beams without flattening filter. , 2009, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

[15]  Fang-Fang Yin,et al.  Task Group 142 report: quality assurance of medical accelerators. , 2009, Medical physics.

[16]  D W O Rogers,et al.  Relationship between %dd(10)x and stopping-power ratios for flattening filter free accelerators: a Monte Carlo study. , 2008, Medical physics.

[17]  Ahmad Keshtkar,et al.  Dosimetric properties of a flattening filter-free 6-MV photon beam: a Monte Carlo study , 2007, Radiation Medicine.

[18]  U Titt,et al.  A flattening filter free photon treatment concept evaluation with Monte Carlo. , 2006, Medical physics.

[19]  Radhe Mohan,et al.  Monte Carlo study of photon fields from a flattening filter-free clinical accelerator. , 2006, Medical physics.

[20]  Indra J Das,et al.  Comparison of inhomogeneity correction algorithms in small photon fields. , 2005, Medical physics.

[21]  Cedric X. Yu,et al.  Guidance document on delivery, treatment planning, and clinical implementation of IMRT: report of the IMRT Subcommittee of the AAPM Radiation Therapy Committee. , 2003, Medical physics.

[22]  P. Metcalfe,et al.  Verification of lung dose in an anthropomorphic phantom calculated by the collapsed cone convolution method. , 2000, Physics in medicine and biology.

[23]  J. Palta,et al.  Comprehensive QA for radiation oncology: report of AAPM Radiation Therapy Committee Task Group 40. , 1994, Medical physics.

[24]  P W Hoban,et al.  Radiotherapy X-ray beam inhomogeneity corrections: the problem of lateral electronic disequilibrium in lung. , 1993, Australasian physical & engineering sciences in medicine.

[25]  N Papanikolaou,et al.  Investigation of the convolution method for polyenergetic spectra. , 1993, Medical physics.

[26]  J. Cygler,et al.  Commissioning and quality assurance of treatment planning computers. , 1993, International journal of radiation oncology, biology, physics.

[27]  A. Ahnesjö Collapsed cone convolution of radiant energy for photon dose calculation in heterogeneous media. , 1989, Medical physics.

[28]  A L Boyer,et al.  Calculation of photon dose distributions in an inhomogeneous medium using convolutions. , 1986, Medical physics.

[29]  J. Battista,et al.  A convolution method of calculating dose for 15-MV x rays. , 1985, Medical physics.

[30]  J. R. Cunningham,et al.  Quality assurance in dosimetry and treatment planning , 1984 .

[31]  Daniel A. Low,et al.  Basic Applications of Multileaf Collimators , 2001 .

[32]  G. Starkschall,et al.  American Association of Physicists in Medicine Radiation Therapy Committee Task Group 53: quality assurance for clinical radiotherapy treatment planning. , 1998, Medical physics.

[33]  J. Palta,et al.  Comprehensive QA for Radiation Oncology , 1994 .

[34]  J. Thariat,et al.  Use of computers in external beam radiotherapy procedures with high-energy photons and electrons, in: ICRU Report 42. International Commission on Radiation Units and Measurements, London (1987), 70, ISBN: 0-913394-36-X , 1990 .

[35]  J J Battista,et al.  Generation of photon energy deposition kernels using the EGS Monte Carlo code. , 1988, Physics in medicine and biology.