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Retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung SBRT based on respiratory‐correlated CBCT data‐sets

PURPOSE: To investigate the impact of respiratory motion in the treatment margins for lung SBRT frameless treatments and to validate our treatment margins using 4D CBCT data analysis. METHODS: Two hundred and twenty nine fractions with early stage NSCLC were retrospectively analyzed. All patients we...

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Autores principales: Thengumpallil, Sheeba, Racine, Damien, Germond, Jean‐François, Péguret, Nicolas, Bourhis, Jean, Bochud, François, Moeckli, Raphaël
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/PMC7592980/
https://www.ncbi.nlm.nih.gov/pubmed/32996669
http://dx.doi.org/10.1002/acm2.13034
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author Thengumpallil, Sheeba
Racine, Damien
Germond, Jean‐François
Péguret, Nicolas
Bourhis, Jean
Bochud, François
Moeckli, Raphaël
author_facet Thengumpallil, Sheeba
Racine, Damien
Germond, Jean‐François
Péguret, Nicolas
Bourhis, Jean
Bochud, François
Moeckli, Raphaël
author_sort Thengumpallil, Sheeba
collection PubMed
description PURPOSE: To investigate the impact of respiratory motion in the treatment margins for lung SBRT frameless treatments and to validate our treatment margins using 4D CBCT data analysis. METHODS: Two hundred and twenty nine fractions with early stage NSCLC were retrospectively analyzed. All patients were treated in frameless and free breathing conditions. The treatment margins were calculated according to van Herk equation in Mid‐Ventilation. For each fraction, three 4D CBCT scans, pre‐ and postcorrection, and posttreatment, were acquired to assess target baseline shift, target localization accuracy and intra‐fraction motion errors. A bootstrap analysis was performed to assess the minimum number of patients required to define treatment margins. RESULTS: The retrospectively calculated target‐baseline shift, target localization accuracy and intra‐fraction motion errors agreed with the literature. The best tailored margins to our cohort of patients were retrospectively computed and resulted in agreement with already published data. The bootstrap analysis showed that fifteen patients were enough to assess treatment margins. CONCLUSIONS: The treatment margins applied to our patient’s cohort resulted in good agreement with the retrospectively calculated margins based on 4D CBCT data. Moreover, the bootstrap analysis revealed to be a promising method to verify the reliability of the applied treatment margins for safe lung SBRT delivery.
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spelling pubmed-75929802020-11-02 Retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung SBRT based on respiratory‐correlated CBCT data‐sets Thengumpallil, Sheeba Racine, Damien Germond, Jean‐François Péguret, Nicolas Bourhis, Jean Bochud, François Moeckli, Raphaël J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: To investigate the impact of respiratory motion in the treatment margins for lung SBRT frameless treatments and to validate our treatment margins using 4D CBCT data analysis. METHODS: Two hundred and twenty nine fractions with early stage NSCLC were retrospectively analyzed. All patients were treated in frameless and free breathing conditions. The treatment margins were calculated according to van Herk equation in Mid‐Ventilation. For each fraction, three 4D CBCT scans, pre‐ and postcorrection, and posttreatment, were acquired to assess target baseline shift, target localization accuracy and intra‐fraction motion errors. A bootstrap analysis was performed to assess the minimum number of patients required to define treatment margins. RESULTS: The retrospectively calculated target‐baseline shift, target localization accuracy and intra‐fraction motion errors agreed with the literature. The best tailored margins to our cohort of patients were retrospectively computed and resulted in agreement with already published data. The bootstrap analysis showed that fifteen patients were enough to assess treatment margins. CONCLUSIONS: The treatment margins applied to our patient’s cohort resulted in good agreement with the retrospectively calculated margins based on 4D CBCT data. Moreover, the bootstrap analysis revealed to be a promising method to verify the reliability of the applied treatment margins for safe lung SBRT delivery. John Wiley and Sons Inc. 2020-09-30 /pmc/articles/PMC7592980/ /pubmed/32996669 http://dx.doi.org/10.1002/acm2.13034 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
Thengumpallil, Sheeba
Racine, Damien
Germond, Jean‐François
Péguret, Nicolas
Bourhis, Jean
Bochud, François
Moeckli, Raphaël
Retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung SBRT based on respiratory‐correlated CBCT data‐sets
title Retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung SBRT based on respiratory‐correlated CBCT data‐sets
title_full Retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung SBRT based on respiratory‐correlated CBCT data‐sets
title_fullStr Retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung SBRT based on respiratory‐correlated CBCT data‐sets
title_full_unstemmed Retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung SBRT based on respiratory‐correlated CBCT data‐sets
title_short Retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung SBRT based on respiratory‐correlated CBCT data‐sets
title_sort retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung sbrt based on respiratory‐correlated cbct data‐sets
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592980/
https://www.ncbi.nlm.nih.gov/pubmed/32996669
http://dx.doi.org/10.1002/acm2.13034
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