Treatment plan complexity metrics for predicting IMRT pre-treatment quality assurance results

Crowe, Scott, Kairn, Tanya, Kenny, John, Knight, Richard, Hill, Brendan, Langton, Christian M., & Trapp, Jamie (2014) Treatment plan complexity metrics for predicting IMRT pre-treatment quality assurance results. Australasian Physical & Engineering Sciences in Medicine, 37(3), pp. 475-482.

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Abstract

The planning of IMRT treatments requires a compromise between dose conformity (complexity) and deliverability. This study investigates established and novel treatment complexity metrics for 122 IMRT beams from prostate treatment plans. The Treatment and Dose Assessor software was used to extract the necessary data from exported treatment plan files and calculate the metrics. For most of the metrics, there was strong overlap between the calculated values for plans that passed and failed their quality assurance (QA) tests. However, statistically significant variation between plans that passed and failed QA measurements was found for the established modulation index and for a novel metric describing the proportion of small apertures in each beam. The ‘small aperture score’ provided threshold values which successfully distinguished deliverable treatment plans from plans that did not pass QA, with a low false negative rate.

Impact and interest:

7 citations in Scopus
8 citations in Web of Science®
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63 since deposited on 12 May 2014
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ID Code: 71383
Item Type: Journal Article
Refereed: Yes
Keywords: Quality assurance, Beam complexity, Radiation therapy
DOI: 10.1007/s13246-014-0274-9
ISSN: 1879-5447
Subjects: Australian and New Zealand Standard Research Classification > PHYSICAL SCIENCES (020000) > OTHER PHYSICAL SCIENCES (029900) > Medical Physics (029903)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > ONCOLOGY AND CARCINOGENESIS (111200) > Radiation Therapy (111208)
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2014 Springer
Deposited On: 12 May 2014 22:10
Last Modified: 13 Sep 2016 16:30

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