Predicting the likelihood of QA failure using treatment plan accuracy metrics

Kairn, Tanya, Crowe, Scott, Kenny, John, Knight, Richard, & Trapp, Jamie (2013) Predicting the likelihood of QA failure using treatment plan accuracy metrics. Journal of Physics : Conference Series, 489 (012051).

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This study used automated data processing techniques to calculate a set of novel treatment plan accuracy metrics, and investigate their usefulness as predictors of quality assurance (QA) success and failure. 151 beams from 23 prostate and cranial IMRT treatment plans were used in this study. These plans had been evaluated before treatment using measurements with a diode array system. The TADA software suite was adapted to allow automatic batch calculation of several proposed plan accuracy metrics, including mean field area, small-aperture, off-axis and closed-leaf factors. All of these results were compared the gamma pass rates from the QA measurements and correlations were investigated. The mean field area factor provided a threshold field size (5 cm2, equivalent to a 2.2 x 2.2 cm2 square field), below which all beams failed the QA tests. The small aperture score provided a useful predictor of plan failure, when averaged over all beams, despite being weakly correlated with gamma pass rates for individual beams. By contrast, the closed leaf and off-axis factors provided information about the geometric arrangement of the beam segments but were not useful for distinguishing between plans that passed and failed QA. This study has provided some simple tests for plan accuracy, which may help minimise time spent on QA assessments of treatments that are unlikely to pass.

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7 citations in Scopus
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7 citations in Web of Science®

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ID Code: 69074
Item Type: Journal Article
Refereed: Yes
Additional URLs:
DOI: 10.1088/1742-6596/489/1/012051
ISSN: 1742-6588
Subjects: Australian and New Zealand Standard Research Classification > PHYSICAL SCIENCES (020000) > OTHER PHYSICAL SCIENCES (029900) > Medical Physics (029903)
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 IOP Publishing
Deposited On: 24 Mar 2014 04:52
Last Modified: 06 Sep 2016 03:05

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