Author, as appears in the article.: Hernandez, V; Saez, J; Pasler, M; Jurado-Bruggeman, D; Jornet, N
Department: Ciències Mèdiques Bàsiques
URV's Author/s: Hernandez Masgrau, Victor
Keywords: Audits Clinical trials Complexity metrics Plan complexity
Abstract: Background and purpose: It is known that intensity-modulated radiotherapy plans that are highly complex might be less accurate in dose calculation and treatment delivery. Multiple complexity metrics have been proposed, but the relationships between them have not been thoroughly investigated. This study investigated these relationships in multi-institutional comparisons of treatment plans, where plans from multiple treatment planning systems (TPSs) are typically evaluated.Materials and methods: A program was developed to compute several complexity indices and provide analysis of dynamic plan parameters. This in-house software was used to analyse plans from a recent multi-institutional audit. Additionally, 100 clinical volumetric modulated arc therapy (VMAT) plans from two institutions using different TPSs were analysed.Results: All plans produced satisfactory pre-treatment verification results and, hence, complexity metrics could not be used to predict plans failing QA. Regarding the relationship among complexity indices, some very strong correlations were found (r > 0.9 with p < 0.01). However, some relevant discrepancies between complexity indices were obtained, even with negative correlation coefficients (r similar to-0.6) which were expected to be positive. These discrepancies could be explained because each complexity index focused on different features of the plan and different TPSs prioritised modulation of different plan parameters.Conclusions: Some complexity indices provided similar information and can be considered equivalent. However, indices that focused on different plan parameters yielded different results and it was unclear which complexity index should be used. Careful consideration should be given to the use of complexity metrics in multi-institutional studies.
Thematic Areas: Oncology Radiation Radiology, nuclear medicine & medical imaging Radiology, nuclear medicine and imaging
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: victor.hernandez@urv.cat
Author identifier: 0000-0003-3770-8486
Record's date: 2024-01-16
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.phiro.science/article/S2405-6316(17)30065-9/fulltext
Papper original source: Physics And Imaging In Radiation Oncology. 5 37-43
APA: Hernandez, V; Saez, J; Pasler, M; Jurado-Bruggeman, D; Jornet, N (2018). Comparison of complexity metrics for multi-institutional evaluations of treatment plans in radiotherapy. Physics And Imaging In Radiation Oncology, 5(), 37-43. DOI: 10.1016/j.phro.2018.02.002
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Article's DOI: 10.1016/j.phro.2018.02.002
Entity: Universitat Rovira i Virgili
Journal publication year: 2018
Publication Type: Journal Publications
Repositori URV