Technical Report: Reference photon dosimetry data for Varian accelerators based on IROC‐Houston site visit data. Issue 5 (15th April 2016)
- Record Type:
- Journal Article
- Title:
- Technical Report: Reference photon dosimetry data for Varian accelerators based on IROC‐Houston site visit data. Issue 5 (15th April 2016)
- Main Title:
- Technical Report: Reference photon dosimetry data for Varian accelerators based on IROC‐Houston site visit data
- Authors:
- Kerns, James R.
Followill, David S.
Lowenstein, Jessica
Molineu, Andrea
Alvarez, Paola
Taylor, Paige A.
Stingo, Francesco C.
Kry, Stephen F. - Abstract:
- Abstract : Purpose: Accurate data regarding linear accelerator (Linac) radiation characteristics are important for treatment planning system modeling as well as regular quality assurance of the machine. The Imaging and Radiation Oncology Core‐Houston (IROC‐H) has measured the dosimetric characteristics of numerous machines through their on‐site dosimetry review protocols. Photon data are presented and can be used as a secondary check of acquired values, as a means to verify commissioning a new machine, or in preparation for an IROC‐H site visit. Methods: Photon data from IROC‐H on‐site reviews from 2000 to 2014 were compiled and analyzed. Specifically, data from approximately 500 Varian machines were analyzed. Each dataset consisted of point measurements of several dosimetric parameters at various locations in a water phantom to assess the percentage depth dose, jaw output factors, multileaf collimator small field output factors, off‐axis factors, and wedge factors. The data were analyzed by energy and parameter, with similarly performing machine models being assimilated into classes. Common statistical metrics are presented for each machine class. Measurement data were compared against other reference data where applicable. Results: Distributions of the parameter data were shown to be robust and derive from a student's t distribution. Based on statistical and clinical criteria, all machine models were able to be classified into two or three classes for each energy, exceptAbstract : Purpose: Accurate data regarding linear accelerator (Linac) radiation characteristics are important for treatment planning system modeling as well as regular quality assurance of the machine. The Imaging and Radiation Oncology Core‐Houston (IROC‐H) has measured the dosimetric characteristics of numerous machines through their on‐site dosimetry review protocols. Photon data are presented and can be used as a secondary check of acquired values, as a means to verify commissioning a new machine, or in preparation for an IROC‐H site visit. Methods: Photon data from IROC‐H on‐site reviews from 2000 to 2014 were compiled and analyzed. Specifically, data from approximately 500 Varian machines were analyzed. Each dataset consisted of point measurements of several dosimetric parameters at various locations in a water phantom to assess the percentage depth dose, jaw output factors, multileaf collimator small field output factors, off‐axis factors, and wedge factors. The data were analyzed by energy and parameter, with similarly performing machine models being assimilated into classes. Common statistical metrics are presented for each machine class. Measurement data were compared against other reference data where applicable. Results: Distributions of the parameter data were shown to be robust and derive from a student's t distribution. Based on statistical and clinical criteria, all machine models were able to be classified into two or three classes for each energy, except for 6 MV for which there were eight classes. Quantitative analysis of the measurements for 6, 10, 15, and 18 MV photon beams is presented for each parameter; supplementary material has also been made available which contains further statistical information. Conclusions: IROC‐H has collected numerous data on Varian Linacs and the results of photon measurements from the past 15 years are presented. The data can be used as a comparison check of a physicist's acquired values. Acquired values that are well outside the expected distribution should be verified by the physicist to identify whether the measurements are valid. Comparison of values to this reference data provides a redundant check to help prevent gross dosimetric treatment errors. … (more)
- Is Part Of:
- Medical physics. Volume 43:Issue 5(2016)
- Journal:
- Medical physics
- Issue:
- Volume 43:Issue 5(2016)
- Issue Display:
- Volume 43, Issue 5 (2016)
- Year:
- 2016
- Volume:
- 43
- Issue:
- 5
- Issue Sort Value:
- 2016-0043-0005-0000
- Page Start:
- 2374
- Page End:
- 2386
- Publication Date:
- 2016-04-15
- Subjects:
- biomedical equipment -- collimators -- dosimetry -- linear accelerators -- phantoms -- quality assurance -- radiation therapy -- statistical distributions
Dosimetry/exposure assessment -- Linear accelerators -- Distribution theory and Monte Carlo studies -- Biomedical instrumentation and transducers, including micro‐electro‐mechanical systems (MEMS) -- Collimators -- Therapeutic applications, including brachytherapy
Radiation therapy -- Using diaphragms, collimators -- Linear accelerators -- Scintigraphy
Linac -- reference data -- percentage depth dose -- small field -- IROC
Linear accelerators -- Computer modeling -- Dosimetry -- Field size -- Physicists -- Data analysis -- Intensity modulated radiation therapy -- Multileaf collimators -- Radiosurgery
Medical physics -- Periodicals
Medical physics
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Natuurkunde
Toepassingen
Biophysics
Periodicals
Periodicals
Electronic journals
610.153 - Journal URLs:
- http://scitation.aip.org/content/aapm/journal/medphys ↗
https://aapm.onlinelibrary.wiley.com/journal/24734209 ↗
http://www.aip.org/ ↗ - DOI:
- 10.1118/1.4945697 ↗
- Languages:
- English
- ISSNs:
- 0094-2405
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - 5531.130000
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