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Evaluation of a high resolution diode array for CyberKnife quality assurance
Juan D García-Fuentes1, David Sevillano1,2, Rafael Colmenares1
1Department of Medical Physics, Hospital Universitario Ramón y Cajal, IRyCIS, Madrid, Spain.
Journal of Applied Clinical Medical Physics
|May 29, 2023
Summary
A new diode array detector shows promise for CyberKnife quality assurance (QA), offering faster and reliable results for geometrical accuracy and iris collimator tests compared to traditional radiochromic film (RCF). However, it struggles with detecting certain multileaf collimator errors.
Area of Science:
- Medical Physics
- Radiation Oncology
- Quality Assurance
Background:
- CyberKnife stereotactic radiosurgery relies heavily on radiochromic film (RCF) for machine quality assurance (QA).
- Exploring advanced detector technologies is crucial for improving the efficiency and accuracy of QA procedures.
Purpose of the Study:
- To evaluate a high-resolution diode array as a potential alternative to RCF for CyberKnife QA.
- To assess the array's performance in geometrical accuracy (AQA), iris collimator field size constancy (Iris QA), and multileaf collimator (MLC) positioning.
Main Methods:
- The SRS Mapcheck diode array and its software were used to perform three CyberKnife QA tests.
- Tests included geometrical accuracy (AQA) with orthogonal beams, iris collimator field size constancy (Iris QA), and MLC positioning.
- Constancy, repeatability, and sensitivity to introduced errors were compared between the diode array and RCF.
Main Results:
- For AQA tests, the diode array yielded results comparable to RCF (0.18 ± 0.14 mm differences) with higher reproducibility.
- The diode array demonstrated high linearity and sensitivity (detecting 0.1 mm changes) in Iris QA tests.
- While the array detected single MLC leaf errors, it failed to detect systematic displacements of entire MLC banks.
Conclusions:
- The diode array is a sensitive and accurate tool for AQA and Iris QA, potentially replacing RCF for faster, reliable CyberKnife QA.
- The array's current limitations in detecting systematic MLC errors hinder its full adoption for all QA aspects.

