Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-24T07:58:40.189Z Has data issue: false hasContentIssue false

Retrospective analysis of portal dosimetry pre-treatment quality assurance of hybrid IMRT breast treatment plans

Published online by Cambridge University Press:  27 February 2020

Meghan Koo
Affiliation:
Department of Physics and Astronomy, University of Waterloo, Waterloo, ON, Canada
Johnson Darko*
Affiliation:
Department of Physics and Astronomy, University of Waterloo, Waterloo, ON, Canada Department of Medical Physics, Grand River Regional Cancer Centre, Kitchener, ON, Canada Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
Ernest Osei
Affiliation:
Department of Physics and Astronomy, University of Waterloo, Waterloo, ON, Canada Department of Medical Physics, Grand River Regional Cancer Centre, Kitchener, ON, Canada Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada Department of Systems Design, University of Waterloo, Waterloo, ON, Canada
*
Author for correspondence: Johnson Darko, Department of Medical Physics, Grand River Regional Cancer Centre, Kitchener, ONN2G 1G3, Canada. Tel: 519 749 4300x5793. E-mail: [email protected]

Abstract

Background:

The purpose of this study is to evaluate the effectiveness and sensitivity of the Varian portal dosimetry (PD) system as a quality assurance (QA) tool for breast intensity-modulated radiation therapy (IMRT) treatment plans.

Materials and methods:

Four hundred portal dose images from 200 breast cancer patient IMRT treatment plans were analysed. The images were obtained using Varian PortalVision electronic portal imaging devices (EPIDs) on Varian TrueBeam Linacs. Three patient plans were selected, and the multi-leaf collimator (MLC) positions were randomly altered by a mean of 0·5, 1, 1·5 and 2 mm with a standard deviation of 0·1 mm on 50, 75 and 100% of control points. Using the improved/global gamma calculation algorithm with a low-dose threshold of 10% in the EPID, the change in gamma passing rates for 3%/3 mm, 2%/2 mm and 1%/1 mm criterion was analysed as a function of the introduced error. The changes in the dose distributions of clinical target volume and organ at risk due to MLC positioning errors were also analysed.

Results:

Symmetric and asymmetric breast or chest wall plan fields are different in delivery as well as in the QA. An average gamma passing rate of 99·8 ± 0·5 is presented for 3%/3 mm symmetric plans and 96·9 ± 4·5 is presented for 3%/3 mm asymmetric plans. An average gamma passing rate of 98·4 ± 4·3 is presented for 2%/2 mm symmetric plans and 89·7 ± 9·5 is presented for 2%/2 mm asymmetric plans. A large-induced error in MLC positioning (2·0 mm, 100% of control points) results in an insignificant change in dose that would be delivered to the patient. However, EPID portal dosimetry is sensitive enough to detect even the slightest change in MLC positioning error (0·5 mm, 50% of control points).

Conclusions:

Stricter pre-treatment QA action levels can be established for breast IMRT plans utilising EPID. For improved sensitivity, a multigamma criteria approach is recommended. The PD tool is sensitive enough to detect MLC positioning errors that contribute to even insignificant dose changes.

Type
Original Article
Copyright
© The Author(s), 2020. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Elith, C, Dempsey, S E, Findlay, N, Warren-Forward, H M. An introduction to the Intensity-modulated Radiation Therapy (IMRT) techniques, Tomotherapy, and VMAT. J Med Imaging Radiat Sci 2011; 42(1): 3743.CrossRefGoogle ScholarPubMed
Bailey, D W, Kumaraswamy, L, Bakhtiari, M, Malhotra, H K, Podgorsak, M B. EPID dosimetry for pretreatment quality assurance with two commercial systems. J Appl Clin Med Phys 2012; 13(4): 8299.CrossRefGoogle ScholarPubMed
Sharma, D S, Mhatre, V, Heigrujam, M, Talapatra, K, Mallik, S. Portal dosimetry for pretreatment verification of IMRT plan: a comparison with 2D ion chamber array. J Appl Clin Med Phys 2010; 11(4): 238248.CrossRefGoogle ScholarPubMed
Maraghechi, B, Davis, J, Badu, S, Fleck, A, Darko, J, Osei, E. Retrospective analysis of portal dosimetry pre-treatment quality assurance of prostate volumetric-modulated arc therapy (VMAT) plans. J Radiother Prac 2018; 17(1): 4452.CrossRefGoogle Scholar
Low, D A, Harms, W B, Mutic, S, Purdy, J A. A technique for the quantitative evaluation of dose distributions. Med Phys 1998; 25(5): 656661.CrossRefGoogle ScholarPubMed
Kagkiouzis, J, Platoni, K, Kantzou, I et al. Review of the three-field techniques in breast cancer radiotherapy. J BUON 2017; 22(3): 599.Google ScholarPubMed
Osei, E, Darko, J, Fleck, A et al. Dosimetric evaluation of whole-breast radiation therapy: clinical experience. Med Dosim 2015; 40(4): 355365.CrossRefGoogle ScholarPubMed
Kim, J, Park, S, Kim, H J, Kim, J H, Ye, S, Park, J M. The sensitivity of gamma-index method to the positioning errors of high-definition MLC in patient-specific VMAT QA for SBRT. Radiat Oncol (London, England) 2014; 9:167.CrossRefGoogle ScholarPubMed
Liang, B, Liu, B, Zhou, F, Yin, F, Wu, Q. Comparisons of volumetric modulated arc therapy (VMAT) quality assurance (QA) systems: sensitivity analysis to machine errors. Radiat Oncol (London, England) 2016; 11(1): 146.CrossRefGoogle ScholarPubMed
Defoor, DL, Stathakis, S, Roring, JE et al. Investigation of error detection capabilities of phantom, EPID and MLC log file based IMRT QA methods. J Appl Clin Med Phys 2017; 18(4): 172179.CrossRefGoogle ScholarPubMed
Hsieh, E S, Hansen, K S, Kent, M S, Saini, S, Dieterich, S. Can a commercially available EPID dosimetry system detect small daily patient setup errors for cranial IMRT/SRS? Pract Radiat Oncol 2017; 7(4): e28e290.CrossRefGoogle ScholarPubMed
Maraghechi, B, Davis, J, Mitchell, N et al. The sensitivity of gamma index analysis to detect multileaf collimator (MLC) positioning errors using Varian TrueBeam EPID and ArcCHECK for patient-specific prostate volumetric-modulated arc therapy (VMAT) quality assurance. J Radiother Pract 2018; 17(1): 6677.CrossRefGoogle Scholar
Bailey, D W, Kumaraswamy, L, Podgorsak, M B. An effective correction algorithm for off-axis portal dosimetry errors. Med Phys 2009; 36(9): 40894094.CrossRefGoogle ScholarPubMed
Miften, M, Olch, A, Mihailidis, D et al. Tolerance limits and methodologies for IMRT measurement-based verification QA: recommendations of AAPM Task Group No. 218. Med Phys 2018; 45(4): e5e83.CrossRefGoogle ScholarPubMed
Palta, J R, Kim, S, Li, J, Liu, C. Tolerance limits and action levels for planning and delivery of IMRT. In: Palta, JR, Mackie, TR (eds). Intensity-Modulated Radiation Therapy: The State of Art. Madison: Medical Physics Publishing, 2003:593612.Google Scholar
Ezzell, G A, Burmeister, J W, Dogan, N et al. IMRT commissioning: multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119. Med Phys 2009; 36(11): 53595373.CrossRefGoogle ScholarPubMed
Basran, P S, Woo, M K. An analysis of tolerance levels in IMRT quality assurance procedures. Med Phys 2008; 35(6): 23002307.CrossRefGoogle ScholarPubMed
De Martin, E, Fiorino, C, Broggi, S et al. Agreement criteria between expected and measured field fluences in IMRT of head and neck cancer: the importance and use of the γ histograms statistical analysis. Radiother Oncol 2007; 85(3): 399406.CrossRefGoogle ScholarPubMed
Bailey, D W, Nelms, B E, Attwood, K, Kumaraswamy, L, Podgorsak, M B. Statistical variability and confidence intervals for planar dose QA pass rates. Med Phys 2011; 38(11): 60536064.CrossRefGoogle ScholarPubMed
Mu, G, Ludlum, E, Xia, P. Impact of MLC leaf position errors on simple and complex IMRT plans for head and neck cancer. Phys Med Biol 2007; 53(1): 7788.CrossRefGoogle ScholarPubMed