Purpose: The current clinical interface for Varian’s Intrafraction Motion Review is limited, providing only qualitative data for review at the treatment console. This study provides ways of extracting and interpreting data from combined log files for quantitative evaluation offline.
Methods: Combined log files acquired during patient treatment were exported for analysis. We developed a parsing code in C# to scan the combined file looking for unique identifiers pertaining to the data of interest. Data was saved as a comma separated .txt file that could easily be opened with spreadsheet software for further analysis. We used a time-based system to correlate treatment arcs time to specific patient treatments.
Results: We were able to extract clinically relevant parameters from the log files including: date and time, gantry angle, expected marker position, found marker position, pixel size, and detection result. Detection result is the written classification of the color-coded results seen on the console during treatment. The stored data does not record found versus expected seed position difference, but only the X and Y positions and the detection result (ie. within or outside tolerance). Such numerical detection positional differences need to be calculated externally.
Conclusion: The current data available for clinical decision-making is limited when using IMR. However, data is recorded in the combined log files, which can be utilized to better understand motion during patient treatment. Understanding data recorded during treatment within the combined log files can be helpful for retrospectively reviewing motion during treatment to continue to improve patient care.
Not Applicable / None Entered.