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Clinical validation of a graphical method for radiation therapy plan quality assessment

BACKGROUND: This work aims at clinically validating a graphical tool developed for treatment plan assessment, named SPIDERplan, by comparing the plan choices based on its scoring with the radiation oncologists (RO) clinical preferences. METHODS: SPIDERplan validation was performed for nasopharynx pa...

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Autores principales: Ventura, Tiago, Dias, Joana, Khouri, Leila, Netto, Eduardo, Soares, André, da Costa Ferreira, Brigida, Rocha, Humberto, Lopes, Maria do Carmo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068922/
https://www.ncbi.nlm.nih.gov/pubmed/32164752
http://dx.doi.org/10.1186/s13014-020-01507-5
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author Ventura, Tiago
Dias, Joana
Khouri, Leila
Netto, Eduardo
Soares, André
da Costa Ferreira, Brigida
Rocha, Humberto
Lopes, Maria do Carmo
author_facet Ventura, Tiago
Dias, Joana
Khouri, Leila
Netto, Eduardo
Soares, André
da Costa Ferreira, Brigida
Rocha, Humberto
Lopes, Maria do Carmo
author_sort Ventura, Tiago
collection PubMed
description BACKGROUND: This work aims at clinically validating a graphical tool developed for treatment plan assessment, named SPIDERplan, by comparing the plan choices based on its scoring with the radiation oncologists (RO) clinical preferences. METHODS: SPIDERplan validation was performed for nasopharynx pathology in two steps. In the first step, three ROs from three Portuguese radiotherapy departments were asked to blindly evaluate and rank the dose distributions of twenty pairs of treatment plans. For plan ranking, the best plan from each pair was selected. For plan evaluation, the qualitative classification of ‘Good’, ‘Admissible with minor deviations’ and ‘Not Admissible’ were assigned to each plan. In the second step, SPIDERplan was applied to the same twenty patient cases. The tool was configured for two sets of structures groups: the local clinical set and the groups of structures suggested in international guidelines for nasopharynx cancer. Group weights, quantifying the importance of each group and incorporated in SPIDERplan, were defined according to RO clinical preferences and determined automatically by applying a mixed linear programming model for implicit elicitation of preferences. Intra- and inter-rater ROs plan selection and evaluation were assessed using Brennan-Prediger kappa coefficient. RESULTS: Two-thirds of the plans were qualitatively evaluated by the ROs as ‘Good’. Concerning intra- and inter-rater variabilities of plan selection, fair agreements were obtained for most of the ROs. For plan evaluation, substantial agreements were verified in most cases. The choice of the best plan made by SPIDERplan was identical for all sets of groups and, in most cases, agreed with RO plan selection. Differences between RO choice and SPIDERplan analysis only occurred in cases for which the score differences between the plans was very low. A score difference threshold of 0.005 was defined as the value below which two plans are considered of equivalent quality. CONCLUSION: Generally, SPIDERplan response successfully reproduced the ROs plan selection. SPIDERplan assessment performance can represent clinical preferences based either on manual or automatic group weight assignment. For nasopharynx cases, SPIDERplan was robust in terms of the definitions of structure groups, being able to support different configurations without losing accuracy.
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spelling pubmed-70689222020-03-18 Clinical validation of a graphical method for radiation therapy plan quality assessment Ventura, Tiago Dias, Joana Khouri, Leila Netto, Eduardo Soares, André da Costa Ferreira, Brigida Rocha, Humberto Lopes, Maria do Carmo Radiat Oncol Research BACKGROUND: This work aims at clinically validating a graphical tool developed for treatment plan assessment, named SPIDERplan, by comparing the plan choices based on its scoring with the radiation oncologists (RO) clinical preferences. METHODS: SPIDERplan validation was performed for nasopharynx pathology in two steps. In the first step, three ROs from three Portuguese radiotherapy departments were asked to blindly evaluate and rank the dose distributions of twenty pairs of treatment plans. For plan ranking, the best plan from each pair was selected. For plan evaluation, the qualitative classification of ‘Good’, ‘Admissible with minor deviations’ and ‘Not Admissible’ were assigned to each plan. In the second step, SPIDERplan was applied to the same twenty patient cases. The tool was configured for two sets of structures groups: the local clinical set and the groups of structures suggested in international guidelines for nasopharynx cancer. Group weights, quantifying the importance of each group and incorporated in SPIDERplan, were defined according to RO clinical preferences and determined automatically by applying a mixed linear programming model for implicit elicitation of preferences. Intra- and inter-rater ROs plan selection and evaluation were assessed using Brennan-Prediger kappa coefficient. RESULTS: Two-thirds of the plans were qualitatively evaluated by the ROs as ‘Good’. Concerning intra- and inter-rater variabilities of plan selection, fair agreements were obtained for most of the ROs. For plan evaluation, substantial agreements were verified in most cases. The choice of the best plan made by SPIDERplan was identical for all sets of groups and, in most cases, agreed with RO plan selection. Differences between RO choice and SPIDERplan analysis only occurred in cases for which the score differences between the plans was very low. A score difference threshold of 0.005 was defined as the value below which two plans are considered of equivalent quality. CONCLUSION: Generally, SPIDERplan response successfully reproduced the ROs plan selection. SPIDERplan assessment performance can represent clinical preferences based either on manual or automatic group weight assignment. For nasopharynx cases, SPIDERplan was robust in terms of the definitions of structure groups, being able to support different configurations without losing accuracy. BioMed Central 2020-03-12 /pmc/articles/PMC7068922/ /pubmed/32164752 http://dx.doi.org/10.1186/s13014-020-01507-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ventura, Tiago
Dias, Joana
Khouri, Leila
Netto, Eduardo
Soares, André
da Costa Ferreira, Brigida
Rocha, Humberto
Lopes, Maria do Carmo
Clinical validation of a graphical method for radiation therapy plan quality assessment
title Clinical validation of a graphical method for radiation therapy plan quality assessment
title_full Clinical validation of a graphical method for radiation therapy plan quality assessment
title_fullStr Clinical validation of a graphical method for radiation therapy plan quality assessment
title_full_unstemmed Clinical validation of a graphical method for radiation therapy plan quality assessment
title_short Clinical validation of a graphical method for radiation therapy plan quality assessment
title_sort clinical validation of a graphical method for radiation therapy plan quality assessment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068922/
https://www.ncbi.nlm.nih.gov/pubmed/32164752
http://dx.doi.org/10.1186/s13014-020-01507-5
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