A tool for radiotherapy plan evaluation analysis: generalise Uniform Ideal Dose (gUIDE)

Cagni, Elisabetta, Trojani, V, Botti, A, Lewis, A and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 2024. A tool for radiotherapy plan evaluation analysis: generalise Uniform Ideal Dose (gUIDE). Presented at: Cardiff University Engineering Research Conference 2023, Cardiff, UK, 12-14 July 2023. Published in: Spezi, Emiliano and Bray, Michaela eds. Proceedings of the Cardiff University Engineering Research Conference 2023. Cardiff: Cardiff University Press, pp. 6-10. 10.18573/conf1.c

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Abstract

In radiotherapy, treatment planning is the process in which the appropriate dose distribution is planned for a specific patient. However, there is no consensus on what the ‘optimal’ plan should be and on how to measure plan quality. The purpose of this study was to develop a tool called a ‘generalized Uniform Ideal Dose’ (gUIDE) that produces an ‘ideal’ dose distribution based on single patient anatomy and dose prescription. By comparing the clinical achieved dose distribution with gUIDE a quantitative measure of plan quality can be derived. gUIDE is based on an exponential function of dose fall-off outside the tumor volume. The algorithm does not require any specification of the treatment machine but only patient geometry information. gUIDE fall-off parameter was properly derived in a simple geometry dose profile. Overall, gUIDE showed a lower DVH than the DVH generated using the clinical treatment planning system, as it was expected for a baseline ideal condition. In the clinical validation, although the statistical test showed significant differences between the two groups, overall values were similar for all structures between gUIDE and PlanIQ. A baseline dose gUIDE was implemented, optimised and evaluated. gUIDE could be accurate enough to be used as baseline to help in the plan evaluation process.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics Engineering
Subjects:	Q Science > QA Mathematics R Medicine > R Medicine (General) T Technology > TA Engineering (General). Civil engineering (General)
Additional Information:	Contents are extended abstracts of papers, not full papers
Publisher:	Cardiff University Press
ISBN:	978-1-9116-5349-3
Date of First Compliant Deposit:	10 June 2024
Last Modified:	26 Jul 2024 13:25
URI:	https://orca.cardiff.ac.uk/id/eprint/169667

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