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Multimodal 3D Printing of Phantoms to Simulate Biological Tissue
Published on: January 11, 2020
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A depth dose study between AAA and AXB algorithm against Monte Carlo simulation using AIP CT of a 4D dataset from a
Roger Cai Xiang Soh1,2, Guan Heng Tay3, Wen Siang Lew2
1Department of Radiation Oncology, National University Cancer Institute, Singapore.
Summary
Respiration motion significantly impacts dose calculation algorithms, revealing depth dose differences not seen with static models. Newer versions of Anisotropic Analytical Algorithm and Acuros XB algorithms show improved accuracy with moving targets.
Area of Science:
- Medical Physics
- Radiation Oncology
- Radiotherapy Treatment Planning
Background:
- Respiration-induced motion poses challenges for accurate dose prediction in radiotherapy.
- Evaluating the impact of motion on dose calculation algorithms is crucial for treatment planning.
Purpose of the Study:
- To identify depth dose differences between algorithm versions using 4D CT data.
- To assess the sensitivity of dose calculation algorithms to respiratory motion.
Main Methods:
- Compared Anisotropic Analytical Algorithm (AAA) and Acuros XB (AXB) algorithms (versions 10.0 and 13.6) against Monte Carlo (MC) simulations.
- Utilized a QUASAR phantom with a moving chest wall to simulate respiratory motion.
- Analyzed depth doses along the central axis for various field sizes and beam directions.
Main Results:
- The moving chest wall revealed significant dose differences (up to 105% for AAAv10.0, 40% for AXBv10.0) in surface and buildup regions for older versions.
- Newer versions (AAAv13.6, AXBv13.6) showed improved agreement with MC, within 10% at similar depths.
- Anterior beam doses showed differences within 7% for both algorithm versions, consistent with static studies.
Conclusions:
- A moving chest wall effectively highlights depth dose discrepancies between different versions of dose calculation algorithms.
- These motion-induced differences are not detectable with static phantom or anterior beam configurations.
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