LAUSR

Dear Editor, A recent publication by Lorenz and Paris1 “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 3.5mm and 1mm gap field size, respectively. The investigators attempted to determine the cause of the relatively high failure rates during their patientspecific quality assurance (PSQA) when using flattening filterfree (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 TG1062 with MLC positions abiding by a 1mm tolerance. Additionally, Kabat et al3 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,1 we retrospectively analyzed the PSQA results from 20 VMAT treatments planned with FFF and nonFFF (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 distancetoagreement (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.4– 7 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 DOI: 10.1002/acm2.13349