Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1783601281034616832 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7592980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT thengumpallilsheeba retrospectiveanalysisoftheimpactofrespiratorymotionintreatmentmarginsforframelesslungsbrtbasedonrespiratorycorrelatedcbctdatasets AT racinedamien retrospectiveanalysisoftheimpactofrespiratorymotionintreatmentmarginsforframelesslungsbrtbasedonrespiratorycorrelatedcbctdatasets AT germondjeanfrancois retrospectiveanalysisoftheimpactofrespiratorymotionintreatmentmarginsforframelesslungsbrtbasedonrespiratorycorrelatedcbctdatasets AT peguretnicolas retrospectiveanalysisoftheimpactofrespiratorymotionintreatmentmarginsforframelesslungsbrtbasedonrespiratorycorrelatedcbctdatasets AT bourhisjean retrospectiveanalysisoftheimpactofrespiratorymotionintreatmentmarginsforframelesslungsbrtbasedonrespiratorycorrelatedcbctdatasets AT bochudfrancois retrospectiveanalysisoftheimpactofrespiratorymotionintreatmentmarginsforframelesslungsbrtbasedonrespiratorycorrelatedcbctdatasets AT moeckliraphael retrospectiveanalysisoftheimpactofrespiratorymotionintreatmentmarginsforframelesslungsbrtbasedonrespiratorycorrelatedcbctdatasets |