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SU‐E‐T‐392: Evaluation of Ion Chamber/film and Log File Based QA to Detect Delivery Errors
Author(s) -
Nelson C,
Ohrt J,
Mason B,
Kirsner S
Publication year - 2015
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4924753
Subject(s) - collimator , dosimetry , ionization chamber , computer science , nuclear medicine , web log analysis software , physics , optics , medicine , ion , operating system , ionization , static web page , the internet , web server , quantum mechanics
Purpose: Ion chamber and film (ICAF) is a method used to verify patient dose prior to treatment. More recently, log file based QA has been shown as an alternative for measurement based QA. In this study, we delivered VMAT plans with and without errors to determine if ICAF and/or log file based QA was able to detect the errors. Methods: Using two VMAT patients, the original treatment plan plus 7 additional plans with delivery errors introduced were generated and delivered. The erroneous plans had gantry, collimator, MLC, gantry and collimator, collimator and MLC, MLC and gantry, and gantry, collimator, and MLC errors. The gantry and collimator errors were off by 4⁰ for one of the two arcs. The MLC error introduced was one in which the opening aperture didn't move throughout the delivery of the field. For each delivery, an ICAF measurement was made as well as a dose comparison based upon log files. Passing criteria to evaluate the plans were ion chamber less and 5% and film 90% of pixels pass the 3mm/3% gamma analysis(GA). For log file analysis 90% of voxels pass the 3mm/3% 3D GA and beam parameters match what was in the plan. Results: Two original plans were delivered and passed both ICAF and log file base QA. Both ICAF and log file QA met the dosimetry criteria on 4 of the 12 erroneous cases analyzed (2 cases were not analyzed). For the log file analysis, all 12 erroneous plans alerted a mismatch in delivery versus what was planned. The 8 plans that didn't meet criteria all had MLC errors. Conclusion: Our study demonstrates that log file based pre‐treatment QA was able to detect small errors that may not be detected using an ICAF and both methods of were able to detect larger delivery errors.