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: | Schools > Computer Science & Informatics Schools > 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: | 29 Apr 2025 15:21 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/169667 |
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