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Composite QA for intensity-modulated radiation therapy using individual volume-based 3D gamma indices
Ce Han1, Wenliang Yu2, Xiaomin Zheng1
1Department of Radiation and Medical Oncology, the 1st Affiliated Hospital of Wenzhou Medical University, No. 2 Fuxue Lane, Wenzhou, China.
Individual volume-based 3D gamma indices are feasible and sensitive for composite intensity-modulated radiation therapy (IMRT) quality assurance (QA). They show higher correlation with dose-volume histogram (DVH) errors and better sensitivity than global gamma indices.
Area of Science:
- Medical Physics
- Radiation Oncology
- Radiotherapy Quality Assurance
Background:
- Intensity-modulated radiation therapy (IMRT) requires rigorous quality assurance (QA) to ensure accurate dose delivery.
- Composite dose-volume histogram (DVH)-based QA is crucial for complex treatment plans.
- Evaluating the sensitivity and feasibility of different QA metrics is essential for improving radiotherapy precision.
Purpose of the Study:
- To investigate the feasibility and sensitivity of individual volume-based 3D gamma indices for composite IMRT QA.
- To compare the performance of individual volume gamma indices against global gamma indices.
- To assess the correlation between gamma indices and dose-volume histogram (DVH) metrics.
Main Methods:
- Performed composite IMRT QA for 15 cervical cancer patients using ArcCHECK.
- Evaluated percentage dosimetric errors (%DEs) of DVH metrics and percentage gamma passing rates (%GPs) for individual volumes and global indices.
- Utilized receiver operating characteristic (ROC) curves to determine the sensitivity of gamma indices.
Main Results:
- Most DVH metric %DEs were within 3%.
- Individual volume-based %GPs showed a higher correlation with DVH metrics (%DEs) compared to global %GPs.
- Individual volume-based %GPs demonstrated higher sensitivity (Area Under the Curve) in ROC analysis than global %GPs.
Conclusions:
- Individual volume-based 3D gamma indices are feasible and sensitive for composite IMRT QA.
- These indices offer improved correlation with DVH metrics and enhanced sensitivity compared to global indices.
- The findings support the adoption of individual volume-based gamma indices for more robust IMRT QA.
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