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Investigation of the effects on dose calculations of correction-based algorithms in different tissue medium

Year 2021, Volume: 17 Issue: 3, 305 - 311, 27.09.2021
https://doi.org/10.18466/cbayarfbe.841547

Abstract

The aim of this study is to determine the effects of correction-based algorithms on dose distributions in the inhomogeneous medium and dosimetric parameters depending on the algorithms preferred in breast and lung treatment plans. In the treatment planning system (TPS) in which the Pencil Beam Convolution (PBC) dose calculation algorithm is used, dose calculations were performed in different correction-based algorithms Modified Batho and Equivalent Tissue-Air Ratio (ETAR) for soft tissue, bone and air medium. Rectilinear virtual phantoms were created in TPS for soft tissue, bone and air materials, and deep dose values and dose distribution profiles at lateral depth were obtained. Intensity modulated radiotherapy (IMRT) treatment planning technique was applied to 20 patients with breast and lung cancer diagnosis on computed tomography (CT) sections, and dose calculations were performed. Different dosimetric parameters obtained within the target volume were calculated. Although the effects of correction-based algorithms on dose values depending on the depth and dose distribution profiles in lateral depth were calculated below 1% in dose calculations performed on soft tissue virtual phantom, dose profiles were obtained as approximately 20% in bone and air medium. It was concluded that correction-based algorithms in the different inhomogeneous mediums have a significant effect on the dose values calculated in TPS.

References

  • [1] Wilcox EE, Daskalov GM. Accuracy of dose measurements and calculations within and beyond heterogeneous tissues for 6 MV photon fields smaller than 4 cm produced by Cyberknife. Medical Physics 2008; 35: 2259–2266.
  • [2] Butts JR. Comparison of commercially available three-dimensional treatment planning algorithms for monitor unit calculations in the presence of heterogeneities. Journal of Applied Clinical Medical Physics 2001; 2: 32.
  • [3] Cilla S, Digesù C, Macchia G, et al. Clinical implications of different calculation algorithms in breast radiotherapy: A comparison between pencil beam and collapsed cone convolution. Physica Medica 2014; 30: 473–481.
  • [4] Lu L, Yembi-Goma G, Wang JZ, et al. A Practical Method to Evaluate and Verify Dose Calculation Algorithms in the Treatment Planning System of Radiation Therapy. International Journal of Medical Physics, Clinical Engineering and Radiation Oncology 2013; 02: 76–87.
  • [5] Ahnesjö A, Aspradakis MM. Dose calculations for external photon beams in radiotherapy. Physics in Medicine and Biology; 44. Epub ahead of print 1999. DOI: 10.1088/0031-9155/44/11/201.
  • [6] Engelsman M, Damen EMF, Koken PW, et al. Impact of simple tissue inhomogeneity correction algorithms on conformal radiotherapy of lung tumours. Radiotherapy and Oncology 2001; 60: 299–309.
  • [7] Dorje T. Limitation of Pencil Beam Convolution (PBC) Algorithm for Photon Dose Calculations in Inhomogeneous Medium. Journal of Cancer Treatment and Research 2014; 2: 1.
  • [8] Papanikolaou N, Stathakis S. Dose-calculation algorithms in the context of inhomogeneity corrections for high energy photon beams. Medical Physics 2009; 36: 4765–4775.
  • [9] Sontag MR, Cunningham JR. The equivalent tissue-air ratio method for making absorbed dose calculations in a heterogeneous medium. Radiology 1978; 129: 787–794.
  • [10] Stathakis S, Kappas C, Theodorou K, et al. An inhomogeneity correction algorithm for irregular fields of high-energy photon beams based on Clarkson integration and the 3D beam subtraction method. Journal of Applied Clinical Medical Physics 2006; 7: 1–13.
  • [11] Nyholm T, Olofsson J, Ahnesjö A, et al. Modelling lateral beam quality variations in pencil kernel based photon dose calculations. Physics in Medicine and Biology 2006; 51: 4111–4118.
  • [12] Lax I, Panettieri V, Wennberg B, et al. Dose distributions in SBRT of lung tumors: Comparison between two different treatment planning algorithms and Monte-Carlo simulation including breathing motions. Acta Oncologica 2006; 45: 978–988.
  • [13] Kry SF, Alvarez P, Molineu A, et al. Algorithms used in heterogeneous dose calculations show systematic differences as measured with the radiological physics center’s anthropomorphic thorax phantom used for RTOG credentialing. International Journal of Radiation Oncology Biology Physics 2013; 85: e95–e100.
  • [14] Antonella F, Giorgia N, Alessandro C, et al. Dosimetric validation of the Acuros XB Advanced Dose Calculation algorithm: fundamental characterization in water. Physics in Medicine and Biology 2011; 56: 2885.
  • [15] Buzdar SA, Afzal M, Todd-Pokropek A. Comparison of pencil beam and collapsed cone algorithms, in radiotherapy treatment planning for 6 and 10 MV photon. Journal of Ayub Medical College, Abbottabad : JAMC 2010; 22: 152–154.
  • [16] Ding GX, Duggan DM, Lu B, et al. Impact of inhomogeneity corrections on dose coverage in the treatment of lung cancer using stereotactic body radiation therapy. Medical Physics 2007; 34: 2985–2994.
  • [17] Mackie TR, El khatib E, Battista J, et al. Lung dose corrections for 6 and 15 MV x rays. Medical Physics 1985; 12: 327–332.
  • [18] Kim YL, Suh TS, Choe BY, et al. Dose distribution evaluation of various dose calculation algorithms in inhomogeneous media. International Journal of Radiation Research 2016; 14: 269–278.
  • [19] Chen H, Lohr F, Fritz P, et al. Stereotactic, single-dose irradiation of lung tumors: A comparison of absolute dose and dose distribution between pencil beam and monte carlo algorithms based on actual patient ct scans. International Journal of Radiation Oncology Biology Physics 2010; 78: 955–963.
  • [20] Bragg CM, Wingate K, Conway J. Clinical implications of the anisotropic analytical algorithm for IMRT treatment planning and verification. Radiotherapy and Oncology 2008; 86: 276–284.
  • [21] Knöös T, Wieslander E, Cozzi L, et al. Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situations. Physics in Medicine and Biology 2006; 51: 5785–5807.
  • [22] Mesbahi A, Thwaites DI, Reilly AJ. Experimental and Monte Carlo evaluation of Eclipse treatment planning system for lung dose calculations. Reports of Practical Oncology and Radiotherapy 2006; 11: 123–133.
  • [23] Fantomda İ, Alan A, Faruk İ, et al. Monte Carlo , Collapse Cone ve Pencil Beam Algoritmalarının Homojen ve Output Measurements of Monte Carlo , Collapse Cone and Pencil Beam Algorithms in Homogeneous and Inhomogeneous Phantom. 2019; 251–260.
Year 2021, Volume: 17 Issue: 3, 305 - 311, 27.09.2021
https://doi.org/10.18466/cbayarfbe.841547

Abstract

References

  • [1] Wilcox EE, Daskalov GM. Accuracy of dose measurements and calculations within and beyond heterogeneous tissues for 6 MV photon fields smaller than 4 cm produced by Cyberknife. Medical Physics 2008; 35: 2259–2266.
  • [2] Butts JR. Comparison of commercially available three-dimensional treatment planning algorithms for monitor unit calculations in the presence of heterogeneities. Journal of Applied Clinical Medical Physics 2001; 2: 32.
  • [3] Cilla S, Digesù C, Macchia G, et al. Clinical implications of different calculation algorithms in breast radiotherapy: A comparison between pencil beam and collapsed cone convolution. Physica Medica 2014; 30: 473–481.
  • [4] Lu L, Yembi-Goma G, Wang JZ, et al. A Practical Method to Evaluate and Verify Dose Calculation Algorithms in the Treatment Planning System of Radiation Therapy. International Journal of Medical Physics, Clinical Engineering and Radiation Oncology 2013; 02: 76–87.
  • [5] Ahnesjö A, Aspradakis MM. Dose calculations for external photon beams in radiotherapy. Physics in Medicine and Biology; 44. Epub ahead of print 1999. DOI: 10.1088/0031-9155/44/11/201.
  • [6] Engelsman M, Damen EMF, Koken PW, et al. Impact of simple tissue inhomogeneity correction algorithms on conformal radiotherapy of lung tumours. Radiotherapy and Oncology 2001; 60: 299–309.
  • [7] Dorje T. Limitation of Pencil Beam Convolution (PBC) Algorithm for Photon Dose Calculations in Inhomogeneous Medium. Journal of Cancer Treatment and Research 2014; 2: 1.
  • [8] Papanikolaou N, Stathakis S. Dose-calculation algorithms in the context of inhomogeneity corrections for high energy photon beams. Medical Physics 2009; 36: 4765–4775.
  • [9] Sontag MR, Cunningham JR. The equivalent tissue-air ratio method for making absorbed dose calculations in a heterogeneous medium. Radiology 1978; 129: 787–794.
  • [10] Stathakis S, Kappas C, Theodorou K, et al. An inhomogeneity correction algorithm for irregular fields of high-energy photon beams based on Clarkson integration and the 3D beam subtraction method. Journal of Applied Clinical Medical Physics 2006; 7: 1–13.
  • [11] Nyholm T, Olofsson J, Ahnesjö A, et al. Modelling lateral beam quality variations in pencil kernel based photon dose calculations. Physics in Medicine and Biology 2006; 51: 4111–4118.
  • [12] Lax I, Panettieri V, Wennberg B, et al. Dose distributions in SBRT of lung tumors: Comparison between two different treatment planning algorithms and Monte-Carlo simulation including breathing motions. Acta Oncologica 2006; 45: 978–988.
  • [13] Kry SF, Alvarez P, Molineu A, et al. Algorithms used in heterogeneous dose calculations show systematic differences as measured with the radiological physics center’s anthropomorphic thorax phantom used for RTOG credentialing. International Journal of Radiation Oncology Biology Physics 2013; 85: e95–e100.
  • [14] Antonella F, Giorgia N, Alessandro C, et al. Dosimetric validation of the Acuros XB Advanced Dose Calculation algorithm: fundamental characterization in water. Physics in Medicine and Biology 2011; 56: 2885.
  • [15] Buzdar SA, Afzal M, Todd-Pokropek A. Comparison of pencil beam and collapsed cone algorithms, in radiotherapy treatment planning for 6 and 10 MV photon. Journal of Ayub Medical College, Abbottabad : JAMC 2010; 22: 152–154.
  • [16] Ding GX, Duggan DM, Lu B, et al. Impact of inhomogeneity corrections on dose coverage in the treatment of lung cancer using stereotactic body radiation therapy. Medical Physics 2007; 34: 2985–2994.
  • [17] Mackie TR, El khatib E, Battista J, et al. Lung dose corrections for 6 and 15 MV x rays. Medical Physics 1985; 12: 327–332.
  • [18] Kim YL, Suh TS, Choe BY, et al. Dose distribution evaluation of various dose calculation algorithms in inhomogeneous media. International Journal of Radiation Research 2016; 14: 269–278.
  • [19] Chen H, Lohr F, Fritz P, et al. Stereotactic, single-dose irradiation of lung tumors: A comparison of absolute dose and dose distribution between pencil beam and monte carlo algorithms based on actual patient ct scans. International Journal of Radiation Oncology Biology Physics 2010; 78: 955–963.
  • [20] Bragg CM, Wingate K, Conway J. Clinical implications of the anisotropic analytical algorithm for IMRT treatment planning and verification. Radiotherapy and Oncology 2008; 86: 276–284.
  • [21] Knöös T, Wieslander E, Cozzi L, et al. Comparison of dose calculation algorithms for treatment planning in external photon beam therapy for clinical situations. Physics in Medicine and Biology 2006; 51: 5785–5807.
  • [22] Mesbahi A, Thwaites DI, Reilly AJ. Experimental and Monte Carlo evaluation of Eclipse treatment planning system for lung dose calculations. Reports of Practical Oncology and Radiotherapy 2006; 11: 123–133.
  • [23] Fantomda İ, Alan A, Faruk İ, et al. Monte Carlo , Collapse Cone ve Pencil Beam Algoritmalarının Homojen ve Output Measurements of Monte Carlo , Collapse Cone and Pencil Beam Algorithms in Homogeneous and Inhomogeneous Phantom. 2019; 251–260.
There are 23 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Serhat Aras 0000-0002-4825-5921

Publication Date September 27, 2021
Published in Issue Year 2021 Volume: 17 Issue: 3

Cite

APA Aras, S. (2021). Investigation of the effects on dose calculations of correction-based algorithms in different tissue medium. Celal Bayar University Journal of Science, 17(3), 305-311. https://doi.org/10.18466/cbayarfbe.841547
AMA Aras S. Investigation of the effects on dose calculations of correction-based algorithms in different tissue medium. CBUJOS. September 2021;17(3):305-311. doi:10.18466/cbayarfbe.841547
Chicago Aras, Serhat. “Investigation of the Effects on Dose Calculations of Correction-Based Algorithms in Different Tissue Medium”. Celal Bayar University Journal of Science 17, no. 3 (September 2021): 305-11. https://doi.org/10.18466/cbayarfbe.841547.
EndNote Aras S (September 1, 2021) Investigation of the effects on dose calculations of correction-based algorithms in different tissue medium. Celal Bayar University Journal of Science 17 3 305–311.
IEEE S. Aras, “Investigation of the effects on dose calculations of correction-based algorithms in different tissue medium”, CBUJOS, vol. 17, no. 3, pp. 305–311, 2021, doi: 10.18466/cbayarfbe.841547.
ISNAD Aras, Serhat. “Investigation of the Effects on Dose Calculations of Correction-Based Algorithms in Different Tissue Medium”. Celal Bayar University Journal of Science 17/3 (September 2021), 305-311. https://doi.org/10.18466/cbayarfbe.841547.
JAMA Aras S. Investigation of the effects on dose calculations of correction-based algorithms in different tissue medium. CBUJOS. 2021;17:305–311.
MLA Aras, Serhat. “Investigation of the Effects on Dose Calculations of Correction-Based Algorithms in Different Tissue Medium”. Celal Bayar University Journal of Science, vol. 17, no. 3, 2021, pp. 305-11, doi:10.18466/cbayarfbe.841547.
Vancouver Aras S. Investigation of the effects on dose calculations of correction-based algorithms in different tissue medium. CBUJOS. 2021;17(3):305-11.