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Accuracy of one algorithm used to modify a planned DVH with data from actual dose delivery
Detection and accurate quantification of treatment delivery errors is important in radiation therapy. This study aims to evaluate the accuracy of DVH based QA in quantifying delivery errors. Eighteen previously treated VMAT plans (prostate, H&N, and brain) were randomly chosen for this study. Co...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874102/ https://www.ncbi.nlm.nih.gov/pubmed/27685140 http://dx.doi.org/10.1120/jacmp.v17i5.6344 |
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author | Ma, Tianjun Podgorsak, Matthew B. Kumaraswamy, Lalith K. |
author_facet | Ma, Tianjun Podgorsak, Matthew B. Kumaraswamy, Lalith K. |
author_sort | Ma, Tianjun |
collection | PubMed |
description | Detection and accurate quantification of treatment delivery errors is important in radiation therapy. This study aims to evaluate the accuracy of DVH based QA in quantifying delivery errors. Eighteen previously treated VMAT plans (prostate, H&N, and brain) were randomly chosen for this study. Conventional IMRT delivery QA was done with the ArcCHECK diode detector for error‐free plans and plans with the following modifications: 1) induced monitor unit differences up to [Formula: see text]) control point deletion (3, 5, and 8 control points were deleted for each arc), and 3) gantry angle shift (2° uniform shift clockwise and counterclockwise). 2D and 3D distance‐to‐agreement (DTA) analyses were performed for all plans with SNC Patient software and 3DVH software, respectively. Subsequently, accuracy of the reconstructed DVH curves and DVH parameters in 3DVH software were analyzed for all selected cases using the plans in the Eclipse treatment planning system as standard. 3D DTA analysis for error‐induced plans generally gave high pass rates, whereas the 2D evaluation seemed to be more sensitive to detecting delivery errors. The average differences for DVH parameters between each pair of Eclipse recalculation and 3DVH prediction were within 2% for all three types of error‐induced treatment plans. This illustrates that 3DVH accurately quantifies delivery errors in terms of actual dose delivered to the patients. 2D DTA analysis should be routinely used for clinical evaluation. Any concerns or dose discrepancies should be further analyzed through DVH‐based QA for clinically relevant results and confirmation of a conventional passing‐rate‐based QA. PACS number(s): 87.56.Fc, 87.55.Qr, 87.55.dk, 87.55.km |
format | Online Article Text |
id | pubmed-5874102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58741022018-04-02 Accuracy of one algorithm used to modify a planned DVH with data from actual dose delivery Ma, Tianjun Podgorsak, Matthew B. Kumaraswamy, Lalith K. J Appl Clin Med Phys Radiation Oncology Physics Detection and accurate quantification of treatment delivery errors is important in radiation therapy. This study aims to evaluate the accuracy of DVH based QA in quantifying delivery errors. Eighteen previously treated VMAT plans (prostate, H&N, and brain) were randomly chosen for this study. Conventional IMRT delivery QA was done with the ArcCHECK diode detector for error‐free plans and plans with the following modifications: 1) induced monitor unit differences up to [Formula: see text]) control point deletion (3, 5, and 8 control points were deleted for each arc), and 3) gantry angle shift (2° uniform shift clockwise and counterclockwise). 2D and 3D distance‐to‐agreement (DTA) analyses were performed for all plans with SNC Patient software and 3DVH software, respectively. Subsequently, accuracy of the reconstructed DVH curves and DVH parameters in 3DVH software were analyzed for all selected cases using the plans in the Eclipse treatment planning system as standard. 3D DTA analysis for error‐induced plans generally gave high pass rates, whereas the 2D evaluation seemed to be more sensitive to detecting delivery errors. The average differences for DVH parameters between each pair of Eclipse recalculation and 3DVH prediction were within 2% for all three types of error‐induced treatment plans. This illustrates that 3DVH accurately quantifies delivery errors in terms of actual dose delivered to the patients. 2D DTA analysis should be routinely used for clinical evaluation. Any concerns or dose discrepancies should be further analyzed through DVH‐based QA for clinically relevant results and confirmation of a conventional passing‐rate‐based QA. PACS number(s): 87.56.Fc, 87.55.Qr, 87.55.dk, 87.55.km John Wiley and Sons Inc. 2016-05-18 /pmc/articles/PMC5874102/ /pubmed/27685140 http://dx.doi.org/10.1120/jacmp.v17i5.6344 Text en © 2016 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Ma, Tianjun Podgorsak, Matthew B. Kumaraswamy, Lalith K. Accuracy of one algorithm used to modify a planned DVH with data from actual dose delivery |
title | Accuracy of one algorithm used to modify a planned DVH with data from actual dose delivery |
title_full | Accuracy of one algorithm used to modify a planned DVH with data from actual dose delivery |
title_fullStr | Accuracy of one algorithm used to modify a planned DVH with data from actual dose delivery |
title_full_unstemmed | Accuracy of one algorithm used to modify a planned DVH with data from actual dose delivery |
title_short | Accuracy of one algorithm used to modify a planned DVH with data from actual dose delivery |
title_sort | accuracy of one algorithm used to modify a planned dvh with data from actual dose delivery |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874102/ https://www.ncbi.nlm.nih.gov/pubmed/27685140 http://dx.doi.org/10.1120/jacmp.v17i5.6344 |
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