Dosimetric comparison of Acuros XB with collapsed cone convolution/superposition and anisotropic analytic algorithm for stereotactic ablative radiotherapy of thoracic spinal metastases

The aim of this study is to compare the recent Eclipse Acuros XB (AXB) dose calculation engine with the Pinnacle collapsed cone convolution/superposition (CCC) dose calculation algorithm and the Eclipse anisotropic analytic algorithm (AAA) for stereotactic ablative radiotherapy (SAbR) treatment planning of thoracic spinal (T‐spine) metastases using IMRT and VMAT delivery techniques. The three commissioned dose engines (CCC, AAA, and AXB) were validated with ion chamber and EBT2 film measurements utilizing a heterogeneous slab‐geometry water phantom and an anthropomorphic phantom. Step‐and‐shoot IMRT and VMAT treatment plans were developed and optimized for eight patients in Pinnacle, following our institutional SAbR protocol for spinal metastases. The CCC algorithm, with heterogeneity corrections, was used for dose calculations. These plans were then exported to Eclipse and recalculated using the AAA and AXB dose calculation algorithms. Various dosimetric parameters calculated with CCC and AAA were compared to that of the AXB calculations. In regions receiving above 50% of prescription dose, the calculated CCC mean dose is 3.1%–4.1% higher than that of AXB calculations for IMRT plans and 2.8%–3.5% higher for VMAT plans, while the calculated AAA mean dose is 1.5%–2.4% lower for IMRT and 1.2%–1.6% lower for VMAT. Statistically significant differences (p<0.05) were observed for most GTV and PTV indices between the CCC and AXB calculations for IMRT and VMAT, while differences between the AAA and AXB calculations were not statistically significant. For T‐spine SAbR treatment planning, the CCC calculations give a statistically significant overestimation of target dose compared to AXB. AAA underestimates target dose with no statistical significance compared to AXB. Further study is needed to determine the clinical impact of these findings. PACS number: 87.55.D‐, 87.53.Ly

[1]  M. Schell,et al.  Stereotactic body radiation therapy: the report of AAPM Task Group 101. , 2010, Medical physics.

[2]  C. Weltens,et al.  The photon dose calculation algorithm used in breast radiotherapy has significant impact on the parameters of radiobiological models , 2014, Journal of applied clinical medical physics.

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

[4]  J. Ojala The accuracy of the Acuros XB algorithm in external beam radiotherapy – a comprehensive review , 2014 .

[5]  S. Pokharel,et al.  Dose-to-medium vs. dose-to-water: Dosimetric evaluation of dose reporting modes in Acuros XB for prostate, lung and breast cancer , 2014 .

[6]  W Ansbacher,et al.  Evaluation of an analytic linear Boltzmann transport equation solver for high-density inhomogeneities. , 2012, Medical physics.

[7]  H. V. van Houwelingen,et al.  Single fraction radiotherapy is efficacious: a further analysis of the Dutch Bone Metastasis Study controlling for the influence of retreatment. , 2004, International journal of radiation oncology, biology, physics.

[8]  H Helminen,et al.  A 3D pencil-beam-based superposition algorithm for photon dose calculation in heterogeneous media , 2008, Physics in medicine and biology.

[9]  R. Mohan,et al.  The impact of electron transport on the accuracy of computed dose. , 2000, Medical physics.

[10]  T. Zhu,et al.  Accelerator beam data commissioning equipment and procedures: Report of the TG-106 of the Therapy Physics Committee of the AAPM. , 2008, Medical physics.

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

[12]  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.

[13]  Xun Jia,et al.  GPU-based fast gamma index calculation. , 2011, Physics in medicine and biology.

[14]  Robert D Timmerman,et al.  An overview of hypofractionation and introduction to this issue of seminars in radiation oncology. , 2008, Seminars in radiation oncology.

[15]  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.

[16]  P. Yu,et al.  Experimental verification of the Acuros XB and AAA dose calculation adjacent to heterogeneous media for IMRT and RapidArc of nasopharygeal carcinoma. , 2013, Medical physics.

[17]  Philip H. Gutin,et al.  Intensity-modulated Stereotactic Radiotherapy of Paraspinal Tumors: A Preliminary Report , 2004, Neurosurgery.

[18]  P. Carrasco,et al.  Comparison of dose calculation algorithms in slab phantoms with cortical bone equivalent heterogeneities. , 2007, Medical physics.

[19]  L. Cozzi,et al.  On the dosimetric impact of inhomogeneity management in the Acuros XB algorithm for breast treatment , 2011, Radiation oncology.

[20]  D. Followill,et al.  Dosimetric impact of Acuros XB deterministic radiation transport algorithm for heterogeneous dose calculation in lung cancer. , 2013, Medical physics.

[21]  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.

[22]  P. Winkler,et al.  The impact of photon dose calculation algorithms on expected dose distributions in lungs under different respiratory phases , 2008, Physics in medicine and biology.

[23]  A L Boyer,et al.  Effects of dosimetric and clinical uncertainty on complication-free local tumor control. , 1988, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[24]  William C Welch,et al.  Radiosurgery for Spinal Metastases: Clinical Experience in 500 Cases From a Single Institution , 2007, Spine.

[25]  Mika Kapanen,et al.  The accuracy of Acuros XB algorithm for radiation beams traversing a metallic hip implant — comparison with measurements and Monte Carlo calculations , 2014, Journal of applied clinical medical physics.

[26]  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.

[27]  A. Boyer,et al.  Tissue Inhomogeneity Corrections for Megavoltage Photon Beams , 2004 .

[28]  M. Scorsetti,et al.  Dosimetric comparison between VMAT with different dose calculation algorithms and protons for soft-tissue sarcoma radiotherapy , 2013, Acta oncologica.

[29]  L. Stalpers,et al.  Preliminary results of spinal cord compression recurrence evaluation (score-1) study comparing short-course versus long-course radiotherapy for local control of malignant epidural spinal cord compression. , 2009, International journal of radiation oncology, biology, physics.

[30]  Firas Mourtada,et al.  Comparison of a finite-element multigroup discrete-ordinates code with Monte Carlo for radiotherapy calculations , 2006, Physics in medicine and biology.

[31]  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.

[32]  C. Cleeland,et al.  Phase I/II study of stereotactic body radiotherapy for spinal metastasis and its pattern of failure. , 2007, Journal of neurosurgery. Spine.