| Literature DB >> 27167269 |
Deshan Yang1, H Omar Wooten, Olga Green, Harold H Li, Shi Liu, Xiaoling Li, Vivian Rodriguez, Sasa Mutic, Rojano Kashani.
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 com-mercial 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.Entities:
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Year: 2016 PMID: 27167269 PMCID: PMC5690925 DOI: 10.1120/jacmp.v17i3.6001
Source DB: PubMed Journal: J Appl Clin Med Phys ISSN: 1526-9914 Impact factor: 2.102
Figure 1The system workflow.
Figure 2VRDCR program flow chart.
List of items in categories checked by VRDCR program.
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| Patient information | Patient name and ID |
| Prescription information | Prescription dose, PTV target, number of treatment fractions |
| Cobalt‐60 source information | Source serial #, calibration date, calibration source strength and dose rate, the decayed source strength and dose rate |
| Treatment plan | Plan name, total number of treatment beams |
| Per beam | Gantry angle, number of segments, total beam‐on time, beam fluence intensity map |
| Per segment | MLC leaf positions, beam‐on time |
Figure 3A patient treatment delivery report: (left) plan information and image guidance screen captures; (right) beam delivery verification results and the cobalt source information. The fluence difference maps are all black because there was no significant difference between the beam fluence computed from the planned beam parameters and the delivered beam parameters.
Figure 4Demonstration of detected treatment delivery errors in an earlier software version test.
Figure 5Example of the simulated errors detected by VRDCR in the clinical commissioning tests. In this example, the beam weighting was adjusted by 1% for beams 1 and 2. The errors were reflected as a change in the delivery beam‐on time, which also resulted in a difference in the beam fluence.