Implementation of phantom-less IMRT delivery verification using Varian DynaLog files and R/V output

This study aims to evaluate the use of Varian radiotherapy dynamic treatment log (DynaLog) files to verify IMRT plan delivery as part of a routine quality assurance procedure. Delivery accuracy in terms of machine performance was quantified by multileaf collimator (MLC) position errors and fluence delivery accuracy for patients receiving intensity modulated radiation therapy (IMRT) treatment. The relationship between machine performance and plan complexity, quantified by the modulation complexity score (MCS) was also investigated. Actual MLC positions and delivered fraction of monitor units (MU), recorded every 50 ms during IMRT delivery, were extracted from the DynaLog files. The planned MLC positions and fractional MU were taken from the record and verify system MLC control file. Planned and delivered beam data were compared to determine leaf position errors with and without the overshoot effect. Analysis was also performed on planned and actual fluence maps reconstructed from the MLC control file and delivered treatment log files respectively. This analysis was performed for all treatment fractions for 5 prostate, 5 prostate and pelvic node (PPN) and 5 head and neck (H&N) IMRT plans, totalling 82 IMRT fields in ∼5500 DynaLog files. The root mean square (RMS) leaf position errors without the overshoot effect were 0.09, 0.26, 0.19 mm for the prostate, PPN and H&N plans respectively, which increased to 0.30, 0.39 and 0.30 mm when the overshoot effect was considered. Average errors were not affected by the overshoot effect and were 0.05, 0.13 and 0.17 mm for prostate, PPN and H&N plans respectively. The percentage of pixels passing fluence map gamma analysis at 3%/3 mm was 99.94 ± 0.25%, which reduced to 91.62 ± 11.39% at 1%/1 mm criterion. Leaf position errors, but not gamma passing rate, were directly related to plan complexity as determined by the MCS. Site specific confidence intervals for average leaf position errors were set at -0.03-0.12 mm for prostate and -0.02-0.28 mm for more complex PPN and H&N plans. For all treatment sites confidence intervals for RMS errors with the overshoot was set at 0-0.50 mm and for the percentage of pixels passing a gamma analysis at 1%/1 mm a confidence interval of 68.83% was set also for all treatment sites. This work demonstrates the successful implementation of treatment log files to validate IMRT deliveries and how dynamic log files can diagnose delivery errors not possible with phantom based QC. Machine performance was found to be directly related to plan complexity but this is not the dominant determinant of delivery accuracy.

[1]  J. Mechalakos,et al.  IMRT commissioning: multiple institution planning and dosimetry comparisons, a report from AAPM Task Group 119. , 2009, Medical physics.

[2]  J. Dempsey,et al.  An extensive log-file analysis of step-and-shoot intensity modulated radiation therapy segment delivery errors. , 2004, Medical physics.

[3]  Westgate Road,et al.  Report 96 - Guidance for the Clinical Implementation of Intensity Modulated Radiation Therapy , 2004 .

[4]  C. Ling,et al.  Commissioning and quality assurance of RapidArc radiotherapy delivery system. , 2008, International journal of radiation oncology, biology, physics.

[5]  Ravikumar Manickam,et al.  Consistency and reproducibility of the VMAT plan delivery using three independent validation methods , 2010, Journal of applied clinical medical physics.

[6]  N. Papanikolaou,et al.  The inter- and intrafraction reproducibilities of three common IMRT delivery techniques. , 2010, Medical physics.

[7]  D. Dearnaley,et al.  The impact of introducing intensity modulated radiotherapy into routine clinical practice. , 2005, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[8]  Gary A. Ezzell,et al.  The overshoot phenomenon in step‐and‐shoot IMRT delivery , 2001, Journal of applied clinical medical physics.

[9]  Jie Yang,et al.  Monte Carlo based IMRT dose verification using MLC log files and R/V outputs. , 2006, Medical physics.

[10]  Conor K McGarry,et al.  Assessing software upgrades, plan properties and patient geometry using intensity modulated radiation therapy (IMRT) complexity metrics. , 2011, Medical physics.

[11]  James F Dempsey,et al.  Verification of step-and-shoot IMRT delivery using a fast video-based electronic portal imaging device. , 2004, Medical physics.

[12]  Colin G Orton,et al.  Point/counterpoint. It is still necessary to validate each individual IMRT treatment plan with dosimetric measurements before delivery. , 2011, Medical physics.

[13]  W. Kwa,et al.  Monte Carlo based, patient-specific RapidArc QA using Linac log files. , 2009, Medical physics.

[14]  Andrea L McNiven,et al.  A new metric for assessing IMRT modulation complexity and plan deliverability. , 2010, Medical physics.

[15]  Yolande Lievens,et al.  The cost of radiotherapy in a decade of technology evolution. , 2012, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[16]  W C Lam,et al.  Improving delivery of segments with small MU in step-and-shoot IMRT. , 2006, Medical physics.

[17]  S. Bhide,et al.  Dose-escalated intensity-modulated radiotherapy is feasible and may improve locoregional control and laryngeal preservation in laryngo-hypopharyngeal cancers. , 2012, International journal of radiation oncology, biology, physics.

[18]  Annie Gao,et al.  Conventional versus hypofractionated high-dose intensity-modulated radiotherapy for prostate cancer: preliminary safety results from the CHHiP randomised controlled trial. , 2012, The Lancet. Oncology.

[19]  Jean M. Moran,et al.  Verification of dynamic and segmental IMRT delivery by dynamic log file analysis , 2002, Journal of applied clinical medical physics.

[20]  James F Dempsey,et al.  Validation of dynamic MLC-controller log files using a two-dimensional diode array. , 2003, Medical physics.