Literature DB >> 34254426

Potential dose variability for small-field plans delivered with Elekta Agility collimators.

Joseph J Foy1, Poonam Yadav1, Indra J Das1.   

Abstract

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Year:  2021        PMID: 34254426      PMCID: PMC8598139          DOI: 10.1002/acm2.13349

Source DB:  PubMed          Journal:  J Appl Clin Med Phys        ISSN: 1526-9914            Impact factor:   2.102


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CONFLICT OF INTEREST

There is no conflict of interest to disclose. Dear Editor, A recent publication by Lorenz and Paris “Identification of a potential source of error for 6 FFF beams delivered on an AgilityTM multileaf collimator” reported on discrepancy between calculated and measured doses to be 10% and 60% at isocenter for a 3.5‐mm and 1‐mm gap field size, respectively. The investigators attempted to determine the cause of the relatively high failure rates during their patient‐specific quality assurance (PSQA) when using flattening filter‐free (FFF) photon beams. The investigation involved simulating a number of sliding rectangular fields in MonacoTM treatment planning system (TPS) and measuring the dose delivered by these plans with IBA’s Matrixx EvolutionTM detector. Additionally, they tested the range of VMAT and DCAT plans using ArcCheckTM. The authors concluded that the reduced passing rate for plans using FFF was due to the operation of the Agility MLC and its ability to violate leaf position tolerances. We would like to highlight the statement from results section “In comparison, the TrueBeamTM delivered all these fields according to plan and dosimetric agreement was well within specifications for all gap size.” The authors use this justification to focus on the AgilityTM MLC operation as the source of this error. We believe that this statement may be misleading to those using ElektaTM linacs for radiotherapy treatments. At our institution, a PinnacleTM TPS is primarily used along with three ElektaTM linacs (two with AgilityTM MLCs), one TruebeamTM, and ArcheckTM for PSQA. Both linacs underwent extensive MLC QA during commissioning per AAPM TG‐106 with MLC positions abiding by a 1‐mm tolerance. Additionally, Kabat et al reported that Elekta AgilityTM MLC position accuracy can be satisfactorily tested within 0.1 mm tolerance using log files. The root mean error is dependent on the speed of the MLC (5 mm/s–35 mm/s) when varied linearly with MLC position errors ranging from 0.1 mm to 0.9 mm. In the context of the publication by Lorenz and Paris, we retrospectively analyzed the PSQA results from 20 VMAT treatments planned with FFF and non‐FFF (referred to as FF) photon beams for prostate, brain, liver, lung, and head and neck tumors with varied complexity in modulation. Each treatment was planned on an Elekta VersaTM (AgilityTM MLC) machine with PinnacleTM TPS and measured with ArcCheckTM. Planned and measured dose distributions were compared using gradient compensation, a 20% dose threshold, and 2.0%/2.0 mm dose difference and distance‐to‐agreement (DTA) criteria. The relative number of points passing these criteria were compared between plans created with and without the inclusion of the flattening filter. An analogous dataset of patients planned with FF and FFF photon beams on a Varian TruebeamTM linac was obtained, and PSQA results were compared between two linacs. In our study, the average PSQA passing rates on the Elekta VersaTM were 90.6% and 94.1% for FFF and FF plans, respectively, and the passing rates on the TruebeamTM were 91.1% and 96.2% for FFF and FF plans, respectively. Differences in passing rates between FF and FFF plans were statistically significant for both linacs (p = 0.002 and 0.004 for ElektaTM and TruebeamTM, respectively); however, all plans were considered to be clinically acceptable. While the differences in PSQA for FF and FFF photon beams require further investigation, one cannot necessarily conclude that differences in calculated and measured doses and the effect on PSQA passing rates are solely due to the operation of the AgilityTM MLC. Agreement in calculated and measured doses can vary with fluctuations in daily output, linac limitations, complexity of the measured plan, and a myriad of many other factors that have been extensively investigated. , , , Treatment plans using FFF beams such as stereotactic radiotherapy are generally highly modulated and typically use small fields compared to VMAT plans. When using ArcCheckTM, smaller fields also result in a reduced number of measurement points for comparison between calculated and measured dose distributions. These plans will subsequently reflect large variations in the passing rate when a small number of measurement points do not pass the 2.0%/2.0 mm criteria. Additionally, the AgilityTM MLC requires a gap between corresponding leaves of 5 mm when projected at isocenter. Therefore, the dose errors reported by Lorenz and Paris for field sizes smaller than 3.5 mm will not necessarily be found in most clinical plans. This limitation in leaf gap width may also be a source of discrepancy. If plans are created with gap sizes smaller than 5 mm, then the calculated dose distributions will differ from those that can be delivered with an AgilityTM MLC based on these limitations. Finally, Lorenz and Paris found that the discrepancies in measured and calculated doses on the ElektaTM linac were not found for similar plans on a VarianTM linac. Our results indicated that these discrepancies persisted with either linac manufacturer with FFF plans having significantly lower passing rates than FF plans. This may indicate that their reported issues are not within the MLC design, but within the commissioning and beam modeling performed by the authors. While the results obtained from the current study support the notion that additional investigations should analyze the effects of small fields, highly modulated fields, and the relationship between planned and measured dose grids on PSQA, they do not necessarily indicate that discrepancies in these measurements lie within the AgilityTM MLC itself. To fully understand the implications of differences in calculated and measured dose distributions, additional studies are required in the context of small‐field dosimetry and beam modeling, which TG‐155 has addressed. While we respectfully suggest that the authors of the cited publication may have used unnecessarily alarming language that could otherwise undermine the confidence of the radiotherapy community, we are looking forward to the authors elaborating on their findings in future publications. Additional investigation may aid medical professionals in their greater understanding of the dependencies of PSQA on MLC and associated parameter operation, particularly for small fields.
  9 in total

1.  Report of AAPM Task Group 155: Megavoltage photon beam dosimetry in small fields and non-equilibrium conditions.

Authors:  Indra J Das; Paolo Francescon; Jean M Moran; Anders Ahnesjö; Maria M Aspradakis; Chee-Wai Cheng; George X Ding; John D Fenwick; M Saiful Huq; Mark Oldham; Chester S Reft; Otto A Sauer
Journal:  Med Phys       Date:  2021-06-08       Impact factor: 4.071

2.  Evaluation of the Elekta Agility MLC performance using high-resolution log files.

Authors:  Christopher N Kabat; Dewayne L Defoor; Pamela Myers; Neil Kirby; Karl Rasmussen; Daniel L Saenz; Panayiotis Mavroidis; Niko Papanikolaou; Sotirios Stathakis
Journal:  Med Phys       Date:  2019-01-31       Impact factor: 4.071

3.  Incorrect dosimetric leaf separation in IMRT and VMAT treatment planning: Clinical impact and correlation with pretreatment quality assurance.

Authors:  Maria Sjölin; Jens Morgenthaler Edmund
Journal:  Phys Med       Date:  2016-07-06       Impact factor: 2.685

4.  Accelerator beam data commissioning equipment and procedures: report of the TG-106 of the Therapy Physics Committee of the AAPM.

Authors:  Indra J Das; Chee-Wai Cheng; Ronald J Watts; Anders Ahnesjö; John Gibbons; X Allen Li; Jessica Lowenstein; Raj K Mitra; William E Simon; Timothy C Zhu
Journal:  Med Phys       Date:  2008-09       Impact factor: 4.071

5.  Relationship between dosimetric leaf gap and dose calculation errors for high definition multi-leaf collimators in radiotherapy.

Authors:  Jinkoo Kim; James S Han; An Ting Hsia; Shidong Li; Zhigang Xu; Samuel Ryu
Journal:  Phys Imaging Radiat Oncol       Date:  2018-02-20

6.  Identification of a potential source of error for 6FFF beams delivered on an AgilityTM multileaf collimator.

Authors:  Friedlieb H Lorenz; Matthew I Paris
Journal:  J Appl Clin Med Phys       Date:  2021-03-06       Impact factor: 2.102

7.  Predicting deliverability of volumetric-modulated arc therapy (VMAT) plans using aperture complexity analysis.

Authors:  Kelly C Younge; Don Roberts; Lindsay A Janes; Carlos Anderson; Jean M Moran; Martha M Matuszak
Journal:  J Appl Clin Med Phys       Date:  2016-07-08       Impact factor: 2.102

8.  Sensitivity of IROC phantom performance to radiotherapy treatment planning system beam modeling parameters based on community-driven data.

Authors:  Mallory C Glenn; Christine B Peterson; Rebecca M Howell; David S Followill; Julianne M Pollard-Larkin; Stephen F Kry
Journal:  Med Phys       Date:  2020-08-16       Impact factor: 4.071

9.  Potential dose variability for small-field plans delivered with Elekta Agility collimators.

Authors:  Joseph J Foy; Poonam Yadav; Indra J Das
Journal:  J Appl Clin Med Phys       Date:  2021-07-13       Impact factor: 2.102

  9 in total
  2 in total

1.  Response: Potential dose variability for small-field plans delivered with Elekta Agility collimators.

Authors:  Friedlieb H Lorenz; Matthew I Paris
Journal:  J Appl Clin Med Phys       Date:  2021-09-04       Impact factor: 2.102

2.  Potential dose variability for small-field plans delivered with Elekta Agility collimators.

Authors:  Joseph J Foy; Poonam Yadav; Indra J Das
Journal:  J Appl Clin Med Phys       Date:  2021-07-13       Impact factor: 2.102

  2 in total

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