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Published on: February 6, 2019
Patient-specific quality assurance and plan dose errors on breast intensity-modulated proton therapy
Chunbo Liu1, Dandan Zheng2, Julie A Bradley3
1Department of Radiation Oncology, University of Florida College of Medicine, Jacksonville, FL, USA; School of Physical Sciences, University of Science and Technology of China, Hefei, China.
In proton therapy for breast cancer, passing Gamma testing did not guarantee lower patient dose errors. While MU scaling improved overall accuracy, it sometimes worsened specific dose metrics, and Monte Carlo plans remain superior.
Area of Science:
- Medical Physics
- Radiation Oncology
- Radiotherapy Planning
Background:
- Proton therapy offers precise dose delivery.
- Intensity-modulated proton therapy (IMPT) requires accurate dose calculations.
- Patient-specific quality assurance (QA) is crucial for verifying treatment plans.
Purpose of the Study:
- To determine if Gamma passing rate (GPR) correlates with patient dose error in proton therapy.
- To evaluate if monitor unit (MU) scaling can enhance dose accuracy in IMPT.
- To compare dose errors between plans passing and failing Gamma testing.
Main Methods:
- Retrospective analysis of 20 breast cancer patients treated with IMPT.
- Generation of both pencil-beam (PB) and Monte Carlo (MC) treatment plans.
- Patient-specific QA using 3%/3-mm Gamma analysis to compare calculated vs. measured doses.
- MU scaling applied to improve GPR and subsequent dose error comparison.
Main Results:
- Surprisingly, plans passing Gamma testing exhibited greater dose errors than those that failed.
- MU scaling generally reduced overall dose errors but negatively impacted PTV D99 and D95 in some instances.
- Significant differences in PTV DVH RMSE and PTV ΔDmean were observed between passing and failing groups.
Conclusions:
- Gamma passing rate is not a reliable indicator of reduced dose error for breast IMPT using PB algorithms.
- MU scaling can improve overall dose accuracy for individual plans but requires careful consideration of specific dose metrics.
- Monte Carlo-based plans are recommended over MU-scaled PB plans when MC algorithms are available.
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