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The MapCHECK Measurement Uncertainty function and its effect on planar dose pass rates
Daniel W Bailey1, Jason D Spaans, Lalith K Kumaraswamy
1Northside Hospital Cancer Institute; Roswell Park Cancer Institute. daniel.bailey@northside.com.
The Measurement Uncertainty function in dosimetry software inflates planar dose comparison pass rates by automatically adjusting tolerance levels. This can lead to an overestimation of accuracy, potentially misrepresenting treatment plan quality in clinical reports.
Area of Science:
- Medical Physics
- Radiation Oncology
- Dosimetry
Background:
- Planar dosimetry is crucial for verifying radiation therapy treatment accuracy.
- The Sun Nuclear Corporation MapCHECK 2 system is widely used for dose verification.
- Software features like Measurement Uncertainty can influence analysis outcomes.
Purpose of the Study:
- To quantify the impact of the Measurement Uncertainty function on planar dosimetry pass rates.
- To determine how this function affects dose difference tolerances and pass/fail criteria.
- To assess the implications for reporting and inter-institutional comparisons.
Main Methods:
- Measured dose planes from 109 IMRT fields and 40 VMAT arcs using MapCHECK 2.
- Calculated dose planes were exported from a commercial treatment planning system.
- Planar dose comparison pass rates were analyzed with and without the Measurement Uncertainty function enabled.
Main Results:
- The Measurement Uncertainty function increased the effective percent difference criterion by 0.7%-1.2% on average.
- This resulted in average pass rate increases of 1.0%-8.1%, with maximums up to 14.2%.
- The function had a more significant effect on comparisons with lower initial pass rates.
Conclusions:
- The Measurement Uncertainty function can substantially inflate planar dose comparison pass rates.
- The function's uncertainty estimates may not accurately reflect real-world measurement conditions.
- Clear reporting of Measurement Uncertainty function usage is essential to avoid misinterpretation of dosimetry results.
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Uncertainty in Measurement: Accuracy and Precision
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