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On the complexity of helical tomotherapy treatment plans

PURPOSE: Multiple metrics are proposed to characterize and compare the complexity of helical tomotherapy (HT) plans created for different treatment sites. METHODS: A cohort composed of 208 HT plans from head and neck (105), prostate (51) and brain (52) tumor sites was considered. For each plan, 14 c...

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Autores principales: Santos, Tania, Ventura, Tiago, Mateus, Josefina, Capela, Miguel, Lopes, Maria do Carmo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386195/
https://www.ncbi.nlm.nih.gov/pubmed/32363800
http://dx.doi.org/10.1002/acm2.12895
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author Santos, Tania
Ventura, Tiago
Mateus, Josefina
Capela, Miguel
Lopes, Maria do Carmo
author_facet Santos, Tania
Ventura, Tiago
Mateus, Josefina
Capela, Miguel
Lopes, Maria do Carmo
author_sort Santos, Tania
collection PubMed
description PURPOSE: Multiple metrics are proposed to characterize and compare the complexity of helical tomotherapy (HT) plans created for different treatment sites. METHODS: A cohort composed of 208 HT plans from head and neck (105), prostate (51) and brain (52) tumor sites was considered. For each plan, 14 complexity metrics were calculated. Those metrics evaluate the percentage of leaves with small opening times or approaching the projection duration, the percentage of closed leaves, the amount of tongue‐and‐groove effect, and the overall modulation of the planned sinogram. To enable data visualization, an approach based on principal component analysis was followed to reduce the dataset dimensionality. This allowed the calculation of a global plan complexity score. The correlation between plan complexity and pretreatment verification results using the Spearman’s rank correlation coefficients was investigated. RESULTS: According to the global score, the most complex plans were the head and neck tumor cases, followed by the prostate and brain lesions irradiated with stereotactic technique. For almost all individual metrics, head and neck plans confirmed to be the plans with the highest complexity. Nevertheless, prostate cases had the highest percentage of leaves with an opening time approaching the projection duration, whereas the stereotactic brain plans had the highest percentage of closed leaves per projection. Significant correlations between some of the metrics and the pretreatment verification results were identified for the stereotactic brain group. CONCLUSIONS: The proposed metrics and the global score demonstrated to be useful to characterize and quantify the complexity of HT plans of different treatment sites. The reported differences inter‐ and intra‐group may be valuable to guide the planning process aiming at reducing uncertainties and harmonize planning strategies.
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spelling pubmed-73861952020-07-30 On the complexity of helical tomotherapy treatment plans Santos, Tania Ventura, Tiago Mateus, Josefina Capela, Miguel Lopes, Maria do Carmo J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: Multiple metrics are proposed to characterize and compare the complexity of helical tomotherapy (HT) plans created for different treatment sites. METHODS: A cohort composed of 208 HT plans from head and neck (105), prostate (51) and brain (52) tumor sites was considered. For each plan, 14 complexity metrics were calculated. Those metrics evaluate the percentage of leaves with small opening times or approaching the projection duration, the percentage of closed leaves, the amount of tongue‐and‐groove effect, and the overall modulation of the planned sinogram. To enable data visualization, an approach based on principal component analysis was followed to reduce the dataset dimensionality. This allowed the calculation of a global plan complexity score. The correlation between plan complexity and pretreatment verification results using the Spearman’s rank correlation coefficients was investigated. RESULTS: According to the global score, the most complex plans were the head and neck tumor cases, followed by the prostate and brain lesions irradiated with stereotactic technique. For almost all individual metrics, head and neck plans confirmed to be the plans with the highest complexity. Nevertheless, prostate cases had the highest percentage of leaves with an opening time approaching the projection duration, whereas the stereotactic brain plans had the highest percentage of closed leaves per projection. Significant correlations between some of the metrics and the pretreatment verification results were identified for the stereotactic brain group. CONCLUSIONS: The proposed metrics and the global score demonstrated to be useful to characterize and quantify the complexity of HT plans of different treatment sites. The reported differences inter‐ and intra‐group may be valuable to guide the planning process aiming at reducing uncertainties and harmonize planning strategies. John Wiley and Sons Inc. 2020-05-04 /pmc/articles/PMC7386195/ /pubmed/32363800 http://dx.doi.org/10.1002/acm2.12895 Text en © 2020 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Santos, Tania
Ventura, Tiago
Mateus, Josefina
Capela, Miguel
Lopes, Maria do Carmo
On the complexity of helical tomotherapy treatment plans
title On the complexity of helical tomotherapy treatment plans
title_full On the complexity of helical tomotherapy treatment plans
title_fullStr On the complexity of helical tomotherapy treatment plans
title_full_unstemmed On the complexity of helical tomotherapy treatment plans
title_short On the complexity of helical tomotherapy treatment plans
title_sort on the complexity of helical tomotherapy treatment plans
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386195/
https://www.ncbi.nlm.nih.gov/pubmed/32363800
http://dx.doi.org/10.1002/acm2.12895
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