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

Détails

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Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_C985E6089C8E
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Retrospective analysis of the impact of respiratory motion in treatment margins for frameless lung SBRT based on respiratory-correlated CBCT data-sets.
Périodique
Journal of applied clinical medical physics
Auteur⸱e⸱s
Thengumpallil S., Racine D., Germond J.F., Péguret N., Bourhis J., Bochud F., Moeckli R.
ISSN
1526-9914 (Electronic)
ISSN-L
1526-9914
Statut éditorial
Publié
Date de publication
10/2020
Peer-reviewed
Oui
Volume
21
Numéro
10
Pages
170-178
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
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.
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.
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.
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.
Mots-clé
4D CBCT, 4D CT, bootstrap, breathing motion, margins
Pubmed
Web of science
Open Access
Oui
Création de la notice
02/10/2020 13:02
Dernière modification de la notice
21/11/2022 9:18
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