Abstract
The aims of this study were to develop a method for automatic and immediate verification of treatment delivery after each treatment fraction in order to detect and correct errors, and to develop a comprehensive daily report which includes delivery verification results, daily image‐guided radiation therapy (IGRT) review, and information for weekly physics reviews. After systematically analyzing the requirements for treatment delivery verification and understanding the available information from a commercial MRI‐guided radiotherapy treatment machine, we designed a procedure to use 1) treatment plan files, 2) delivery log files, and 3) beam output information to verify the accuracy and completeness of each daily treatment delivery. The procedure verifies the correctness of delivered treatment plan parameters including beams, beam segments and, for each segment, the beam‐on time and MLC leaf positions. For each beam, composite primary fluence maps are calculated from the MLC leaf positions and segment beam‐on time. Error statistics are calculated on the fluence difference maps between the plan and the delivery. A daily treatment delivery report is designed to include all required information for IGRT and weekly physics reviews including the plan and treatment fraction information, daily beam output information, and the treatment delivery verification results. A computer program was developed to implement the proposed procedure of the automatic delivery verification and daily report generation for an MRI guided radiation therapy system. The program was clinically commissioned. Sensitivity was measured with simulated errors. The final version has been integrated into the commercial version of the treatment delivery system. The method automatically verifies the EBRT treatment deliveries and generates the daily treatment reports. Already in clinical use for over one year, it is useful to facilitate delivery error detection, and to expedite physician daily IGRT review and physicist weekly chart review.PACS number(s): 87.55.km
Highlights
493 Yang et al.: Automatic log-based treatment delivery QA for ViewRayMRIdian has the capability of online treatment plan adaptation[6,7] based on daily volumetric magnetic resonance (MR) imaging; it could optimize the patient radiation treatment plan by adapting to the patient anatomy status of the day
MRIdian was at its very early stage of clinical implementation at the beginning of this study, in which we aimed to address two important tasks — automatic daily treatment delivery verification and daily treatment reporting
Methods for analysis and presentation of machine log files have been previously reported for linear accelerator-(linac-) based external beam radiation therapy (EBRT) treatments.[9,10,11,12,13] The MLC dynamic log files are available on Varian linac treatment machines[14] and have been utilized at the authors’ institution and by other groups to validate the accuracy and completeness of the treatment deliveries.[15,16,17,18,19,20,21] Based on our previous experience, we developed a new treatment delivery verification procedure for ViewRay in this study
Summary
493 Yang et al.: Automatic log-based treatment delivery QA for ViewRay. MRIdian has the capability of online treatment plan adaptation[6,7] based on daily volumetric MR imaging; it could optimize the patient radiation treatment plan by adapting to the patient anatomy status of the day. MRIdian was at its very early stage of clinical implementation at the beginning of this study, in which we aimed to address two important tasks — automatic daily treatment delivery verification and daily treatment reporting. These tasks are important because they are directly related to patient safety, quality assurance, and workflow efficiency. The report should include all the information that is required for therapists’, physicians’, and physicists’ reviews, and should be concise and comprehensive so that the report can be checked quickly, and more effectively
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