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Technical Report: Reference photon dosimetry data for Varian accelerators based on IROC-Houston site visit data.
James R Kerns1, David S Followill1, Jessica Lowenstein2
1Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030; Imaging and Radiation Oncology Core-Houston, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030; and Graduate School of Biomedical Sciences, The University of Texas Health Science Center-Houston, Houston, Texas 77030.
Medical Physics
|May 6, 2016
Summary
This study presents 15 years of Varian linear accelerator photon data from IROC-Houston. This data serves as a crucial reference for quality assurance and treatment planning, helping to prevent errors.
Area of Science:
- Medical Physics
- Radiation Oncology
- Dosimetry
Background:
- Accurate linear accelerator (Linac) data is essential for radiation therapy planning and quality assurance.
- The Imaging and Radiation Oncology Core-Houston (IROC-H) collects dosimetric data through on-site reviews.
Purpose of the Study:
- To present photon beam data from Varian Linacs measured by IROC-H.
- To provide a reference dataset for treatment planning system modeling and machine quality assurance.
- To aid in the verification of new machine commissioning and preparation for IROC-H site visits.
Main Methods:
- Compiled and analyzed photon data from approximately 500 Varian Linacs (2000-2014).
- Measured dosimetric parameters including percentage depth dose, output factors, and wedge factors in a water phantom.
- Classified machine models based on energy and parameter performance, presenting statistical metrics.
Main Results:
- Machine models were classified into distinct classes for each photon energy (6, 10, 15, 18 MV).
- Parameter data distributions were robust, often following a student's t distribution.
- Quantitative analysis and supplementary statistical information are provided for Varian Linac photon beams.
Conclusions:
- The presented IROC-H data offers a valuable comparison for physicists' acquired Varian Linac values.
- Deviations from expected distributions warrant verification to ensure measurement validity.
- Utilizing this reference data enhances quality assurance and helps prevent significant dosimetric errors in radiation therapy.
