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Quantification of residual dose estimation error on log file-based patient dose calculation.
Yoshiyuki Katsuta1, Noriyuki Kadoya2, Yukio Fujita3
1Department of Radiology, Takeda General Hospital, Aizuwakamatsu, Japan; Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Leaf miscalibration in volumetric modulated arc therapy (VMAT) causes dose estimation errors. This study quantifies these residual errors based on multileaf collimator (MLC) calibration accuracy, crucial for precise radiotherapy.
Area of Science:
- Medical Physics
- Radiation Oncology
- Radiotherapy Technology
Background:
- Log file-based patient dose estimation in VMAT can be inaccurate due to leaf miscalibration.
- This inaccuracy, termed residual dose estimation error, is not reflected in the calculated dose.
- Accurate dose estimation is critical for effective cancer treatment and minimizing side effects.
Purpose of the Study:
- To determine the residual dose estimation error in VMAT delivery.
- To investigate the impact of multileaf collimator (MLC) calibration accuracy on dose estimation errors.
- To quantify these errors for clinical planning target volumes (PTVs) and organs at risk (OARs).
Main Methods:
- Simulated leaf miscalibration (gap errors and shifts) in head-and-neck and prostate VMAT plans using in-house software.
- Generated modified log files reflecting these errors.
- Recalculated doses in the treatment planning system and quantified generalized equivalent uniform dose (gEUD) for PTVs and OARs.
Main Results:
- Residual dose estimation errors were quantified for MLC leaves calibrated within ±0.5mm.
- For head-and-neck plans, errors were 1.32±0.27% for PTV and 0.82±0.17 Gy for spinal cord.
- For prostate plans, errors were 1.22±0.36% for PTV, 0.95±0.14 Gy for rectum, and 0.45±0.08 Gy for bladder.
Conclusions:
- Residual dose estimation errors in VMAT are dependent on MLC calibration accuracy.
- The study provides quantitative data on these errors for specific clinical scenarios.
- Findings are essential for improving the reliability of log file-based dose calculations in radiotherapy.
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