1. Improvements in treatment planning calculations motivated by tightening IMRT QA tolerances
- Author
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Justin D. Gagneur, Cassandra Stambaugh, Gary A. Ezzell, Edward Clouser, and Arielle Uejo
- Subjects
Male ,Organs at Risk ,Dose-volume histogram ,medicine.medical_specialty ,Quality Assurance, Health Care ,Grid size ,Computer science ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Image Processing, Computer-Assisted ,Retrospective analysis ,medicine ,Humans ,Radiation Oncology Physics ,Radiology, Nuclear Medicine and imaging ,Medical physics ,Radiation treatment planning ,treatment planning systems ,Instrumentation ,Retrospective Studies ,Radiation ,Phantoms, Imaging ,business.industry ,Radiotherapy Planning, Computer-Assisted ,Prostatic Neoplasms ,Radiotherapy Dosage ,IMRT QA ,Workload ,Intensity-modulated radiation therapy ,patient‐specific QA ,Head and Neck Neoplasms ,030220 oncology & carcinogenesis ,Radiotherapy, Intensity-Modulated ,Tomography, X-Ray Computed ,business ,Quality assurance - Abstract
Implementing tighter intensity modulated radiation therapy (IMRT) quality assurance (QA) tolerances initially resulted in high numbers of marginal or failing QA results and motivated a number of improvements to our calculational processes. This work details those improvements and their effect on results. One hundred eighty IMRT plans analyzed previously were collected and new gamma criteria were applied and compared to the original results. The results were used to obtain an estimate for the number of plans that would require additional dose volume histogram (DVH)‐based analysis and therefore predicted workload increase. For 2 months and 133 plans, the established criteria were continued while the new criteria were applied and tracked in parallel. Because the number of marginal or failing plans far exceeded the predicted levels, a number of calculational elements were investigated: IMRT modeling parameters, calculation grid size, and couch top modeling. After improvements to these elements, the new criteria were clinically implemented and the frequency of passing, questionable, and failing plans measured for the subsequent 15 months and 674 plans. The retrospective analysis of selected IMRT QA results demonstrated that 75% of plans should pass, while 19% of IMRT QA plans would need DVH‐based analysis and an additional 6% would fail. However, after applying the tighter criteria for 2 months, the distribution of plans was significantly different from prediction with questionable or failing plans reaching 47%. After investigating and improving several elements of the IMRT calculation processes, the frequency of questionable plans was reduced to 11% and that of failing plans to less than 1%. Tighter IMRT QA tolerances revealed the need to improve several elements of our plan calculations. As a consequence, the accuracy of our plans have improved, and the frequency of finding marginal or failing IMRT QA results, remains within our practical ability to respond.
- Published
- 2018
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